Episode 92

full
Published on:

8th Apr 2025

Heart Health and AI: Marschall Runge on Revolutionizing Patient Care and Prevention

Hey Heart Buddies! I welcome Dr. Marschall Runge, a leading expert in cardiovascular disease and AI in healthcare, this week to help us explore the transformative role of AI in heart health and discuss its potential to improve diagnostics and predict health outcomes. Runge shares insights into AI's ability to analyze complex medical data, enhancing preventive care and treatment precision. I ask him to address concerns about maintaining human connection in healthcare amidst AI advancements. The conversation highlights the importance of patients being proactive as the "CEO" of their health. Runge expresses optimism about AI's role in revolutionizing healthcare practices and outcomes.

This is a fascinating episode and a break from our usual story telling. I hope this episode empowers you to think outside the box of your current health care. Let me know if you liked it!

Amazon.com: Coded to Kill: A Techno-Medical Thriller: 9781637589274: Runge M.D., Marschall: Books

Marschall S. Runge, M.D., Ph.D. | LinkedIn

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**I am not a doctor and this is not medical advice. Be sure to check in with your care team about all the next right steps for you and your heart.**

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Email: Boots@theheartchamberpodcast.com

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Boots Knighton

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Transcript
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Welcome to Open Heart Surgery with Boots, where we explore the

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journey of heart health through the eyes of those who live it every

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day. I'm your host, Boots Knighton, and in season

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five, we're focusing on what it truly means to

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thrive. We'll dive into cutting edge medical advances,

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share powerful stories from both sides of the stethoscope,

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and learn how to be better advocates for our own health.

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From candid conversations with cardiac patients to

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insights from dedicated healthcare professionals, each

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episode brings you closer to understanding the complex world

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of heart health. Whether you're navigating your own cardiac

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journey or supporting someone who is, you're in the right

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place. So let's get to today's story.

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Hello, welcome to another episode of Open Heart Surgery with

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Boots. I am your host, Boots Knighton coming at you from

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Victor, Idaho, where it is snowing today.

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I'm recording this in early January and I am

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so excited for this season. This is the fifth

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season of Open Heart Surgery with Boots and

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I am bringing you my A plus game this

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season, bringing the most distinguished guests yet. And

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today I am so thrilled that Dr.

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Marshall Runge, who wants to be called Marshall,

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has agreed to come on and share his

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expertise and wisdom with us. And let me just talk about

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Dr. Marshall Runge for a second. He's a distinguished

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physician scientist, considered a leader in

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academic medicine, and an advocate for the integration of

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AI into healthcare systems. He

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currently serves as dean of the medical school at the

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University of Michigan. Wow. Aren't we lucky to have him

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today? With numerous accolades and awards, Dr.

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Range has earned a reputation as one of the foremost experts

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in healthcare innovation. His work is bridging

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technology and medicine and has been pivotal in reshaping

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the modern healthcare landscape. Dr.

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Runge, aka Marshall, thank you so much for

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saying yes in your busy schedule. It really is an

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honor. Well, thank you, Boots, and thank you so much for

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that very kind introduction. My entire

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career has been focused on cardiovascular disease, although

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I have other responsibilities, both in seeing

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patients, trying to help patients understand their disease, and in

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both doing research in my own research area,

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as well as being able to help interpret some of the

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research that we see and we see quick headlines in the

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press and trying to help people, and we're all people, after all,

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understand what they can do for their heart. And I think the

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opportunities we look at in the future with AI and

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large language models are just so

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intriguing. Say more about that because I was

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just reading an article recently, I think maybe it was

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in the Washington Post about just the

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journey of even chat GPT and

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GPT5 and how hard it is

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to get that I had no idea how expensive it

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is and then how cutthroat it is and, and so

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it made me think about our upcoming conversation. It just

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sounds like it's not as easy and straightforward

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as I thought it was. Well, I'll make

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a couple of comments. So the first is that in terms of just day to

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day use of AI, I now use it all the

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time and platform I use is offered for free at

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our university at the University of Michigan. It's chat

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GPT4 and you have to get comfortable with it a little

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bit. But once you understand what kinds of questions to ask

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and that you're really having a conversation as weird as that might be with a

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computer, you can find out so much that

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is meaningful information. I always double check

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it. But to give you an example, part of what I do,

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and most physicians do is I have to do continuing

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medical education and maintenance of certification. And in doing that

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I every quarter I have to answer a bunch of questions and I

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find that I can get really

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outstanding data and interpretations from

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ChatGPT in a much more rapid

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manner than if I use any traditional medical resource. So I've

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come to really find it to be invaluable. And

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if for you or you probably know this, but for any, any of your

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listeners or viewers, I think what they'll find is you have

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to give, you have to kind of train yourself to use it, but then it

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is, it is invaluable. So I'm a big fan of, of that part of

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AI. I also, what I find so

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amazing and intriguing is that AI works.

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This sounds a little corny, but AI works in mysterious

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ways and it gathers all this information and it integrates

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it. And in so many instances in medicine, and I'll talk about

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some in heart health, it'll come up with answers that we just would never have

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thought of asking, questions that we never thought of asking, that

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can be extremely helpful. And there's some great examples out there,

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some in cardiovascular disease, some in prevention, some in

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therapeutic areas. And so I think we're facing

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a moment in which things are going to really change

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dramatically in healthcare and in health and all of us thinking

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about our own health, it's been called this AI movement's been called

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a Promethean moment. I had to look up that. So pro

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Prometheus was a Greek God who, you know, caused lightning and

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fire and all kinds of things. And after these moments everything was different

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going forward. And I almost. That's somewhat of an exaggeration, but I think

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things are going to be very different in our coming years

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with AI and what it can bring us. So I'm hearing

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excitement, lots of excitement. Okay. For

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me, I feel a sense of trepidation

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because I, admittedly, because I, I believe

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in like heart connection. Right. I'm, I'm thinking hard all the time

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and having this, this connection with you and in

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community. And so as a patient, when I hear

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you say that, part of me is like, oh cool. It's kind of like

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double checking your thinking when you're working with a patient and helping them

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find like the, the proper way to treat whatever needs to be

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treated. But then also part of me is like, well, then we take out that

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soul connection with our providers and our community.

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And so I realize that's more of an existential

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question or thought, but part of me has a little bit of

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trepidation because I don't want to lose that, that, that connection with

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fellow humans. Boots, that is a great

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point. And you'll hear different people talk about AI

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and how maybe an AI bot could

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replace a healthcare provider, replace a doctor or

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a nutritionist or a therapist. And I don't think

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that's going to happen. And the reason I don't think that's going to happen

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is because you miss that human connection. And that is so

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important. As people connect with each other, as they connect with their care

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providers, as their care providers connect with them, there's

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subtleties in the way that all of us interact that cannot

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really be replicated by AI.

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The best I've heard is that explanation, and I don't know when,

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if ever this will be overcome, is that AI can mimic, that

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it feels you, that it has emotional responses, but it does not have

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emotional responses. That's based on what you're telling it and what it thinks you

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want to hear. And so, and in some cases that's turned out to be

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somewhat dangerous because a person can get so connected to

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an AI bot that becomes their friend. And that's just

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not realistic. No. Well, there's just not a soul

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there. There is no soul. Yes, it's

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soulless. Right, Right. Taking a step back, you

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mentioned you could go and ask a question.

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Could you give us some examples of when, of what

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that would be? What. What is a recent question you've asked of

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maybe regarding a patient or. I don't know what you can share, but I'm just

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really curious. Well, I'll give you both my personal

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experience and also what is out there in the medical Literature. Now I think

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I'll start with what's out there in the medical literature. So AI turns

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out to have a predictive value for heart

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disease from examining retinal scans.

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So if you go to the doctor, and particularly if you have diabetes,

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you'll have a retinal scan, a photograph of your retina, sort of the back

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part of the eye where the business part of seeing occurs.

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And what's been found recently, which is

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just amazing, is that based on those retinal

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scans, AI is picking up cues that can help

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it predict if your likelihood of having

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heart disease and even your five year mortality.

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And so how does it do that? Well, that's part of the

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unknown about AI. It's taking together these huge amounts of data

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that we don't really, we can't assimilate. I mean, I can't assimilate

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everything in the world at the same time. And it's looking

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for patterns. Now sometimes those patterns turn out to be spurious and they're not really.

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It may be a pattern kind of like, well, I feel like every time I'm

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humming a certain tune, I get a green light instead of a red light. So,

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you know, it can be as spurious as that. But many of these findings have

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turned out to be true and have turned out because it's picking

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up a pattern that we wouldn't be looking for.

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So I think that's where AI can really have an impact. It picks up patterns

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that we're maybe not used to. So to give you a common

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everyday question that I get, let's think about people who

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have a elevated LDL cholesterol.

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So LDL cholesterol is the bad cholesterol. It's associated with buildup

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of plaque in the coronary arteries, associated with a

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increased risk of heart attack and stroke and cardiac

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death. And what we have known for a long time

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is that statins drugs like

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Atorvastatin or Lipitor or Rovastatin or

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Crestor have a protective effect. And if you take

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all the big studies that have been done, they show that that

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protective effect against heart problem, heart related

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problems, including cardiac death, can be up to 22%.

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Now that's a big, that's a big impact. And I personally am a big fan

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of statins. I take a statin, my LDL cholesterol is somewhat

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elevated. My brother, who has basically the same LDL pattern I

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do, chooses not to take a statin. We're both still alive and

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well. And so it begs the question, well, what

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are these studies showing? Us and when you really look at those in

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detail, it's that not all the 20,000 patients who were

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studied on or not on a statin, they didn't all get a

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20% benefit. It's a small number who get a big benefit and then a whole

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bunch of people who don't get any benefit. And as you know, I'm sure

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you're viewers and listeners know statins do

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cause myalgias, muscle pains, or other kinds of side

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effects that for some people make it virtually impossible to take a

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statin. Well, think about if we could be much more precise in

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who would really benefit from those statins and

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prevention. I think speaking broadly for American

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healthcare and the costs of healthcare, and in the

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case of cardiac disease, the number of procedures or bypass

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surgery or whatever, when you think about those things

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and the cost of those things, the way out of our

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conundrum is prevention. So

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in the United States, obesity is now well over

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50% of the population, and that carries with it a risk

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of diabetes, a very high risk of diabetes. And

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so if we could prevent this really tsunami of

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obesity that's hitting the United States or lessen it, that's

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how we save money in healthcare. It's not by. I mean, we do need all

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the advanced procedures, and I'm a great fan of advanced procedures, but what we

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need to do is lessen the entry into that

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inevitable pipeline. So I gave

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the cholesterol example. I'll give you another one that is really intriguing to me that

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I don't understand very well at all. But AI has turned out

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to be really valuable in both

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wearable devices. I have a not advertising for Apple, but I have an

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Apple Watch and in other types of wearable

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devices and picking up patterns that we wouldn't ordinarily

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associate with increased risk. So, for example,

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the amount of variability you have in your heart rate when you

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are not exercising or exercising is quite

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a predictor. And AI can analyze that in a way that's difficult to do

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in anything less than a wearable, as

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another example, and this has been shown mainly in Alzheimer's

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disease, but very subtle changes in

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phraseology using social media, for example, or

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your intonation when you're speaking on a phone can be analyzed by

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AI and predict memory decline.

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Alzheimer's maybe five years before any other

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known tests, including cat scans and MRIs, et cetera.

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So what is it picking up out of all that? I don't know. People are

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studying what it. What is it that is picking up. But what's clear is it's

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picking up these patterns that are very difficult for us as, you know,

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thinking, interacting human beings to pick up in each other. You know,

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it's not like someone says, oh, I feel awful, I'm so depressed.

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It's very subtle changes that can be picked up by AI. And

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I want to say one last thing. One of the. And then I'll stop talking.

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One of the great unknowns in heart disease that I've studied

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in our own research, but also is a big

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topic is when are you at risk? If you have a plaque in one of

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your coronary arteries, you have a blockage, when are you at risk of

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that plaque cracking or causing

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that artery to be blocked off? And you don't want to. If you think that

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if you had data that you're at high risk in the next few weeks,

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you'd absolutely want to get something done. On the other hand, if

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you have data that shows you're not at risk and you need to continue your

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exercise, you need to continue your dietary measures, your statin or

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whatever medications, then you wouldn't have to rush off and have

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a cardiac catheterization. Well, AI is proving

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in early studies to be able to detect what those subtle differences are

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between what's called a vulnerable plaque, one that might rupture, and

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a stable plaque. That's been something that's been studied

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for decades, including invasive

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studies looking at putting a catheter in and examining that plaque

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and seeing how much fat or calcium or whatever is in that plaque.

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But it appears to be the case that AI may be able to detect

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the difference between a dangerous and a not dangerous plaque based on

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imaging like a CAT scan or an mri, non invasive

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imaging. So I just give this as a few examples of where I

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see the future going there. We're not there yet. And with with

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the caveat, the important caveat that you mentioned, we need to have

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healthcare providers be able to have a conversation with

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their concerned patients about this. It can't just all pop up from a

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search of ChatGPT, but I think those tools will be very valuable.

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Mind blowing and relieving because it's. Heart

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catheterizations are not fun. Absolutely not

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fun for anyone. I've actually

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literally said I'd rather have an open heart surgery than a heart

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cath. So that says it all. Yeah, my

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therapist was like, why on earth would you say that? And I was like, well,

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because you're asleep for your open heart surgery. Yeah,

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it's terrible. But anyway, I so

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much hope in everything you just shared as a As a heart

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patient, and I so appreciate it and I would love to add a little something

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to the heart rate variability. I have a

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Garmin watch that I'm actually taking a vacation from right now

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because I noticed this can be like a two part

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discussion. I noticed it was causing health

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anxiety. And that's like an delicate line you

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walk, right? Like, okay, I'm watching my data,

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but I noticed that my data was stealing my joy

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and my sense of peace. And since I've stopped wearing

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it, I feel so much better. And I was just reading

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another article, I'm forgetting where now I read a lot. But how,

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you know, healthcare anxiety actually does have adverse

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effects on our health. So here's AI

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informing me on my wrist of, you know,

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lack of sleep, lack of health, heart rate variability. And I'm starting to

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panic, which becomes like this, this

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snowball effect. But as you're saying, you know, it's

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also very beneficial to know when something is

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amiss because I was able to go to my

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cardiologist over a year ago and be like, something's not right.

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And we were able to make some changes because of my watch.

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Right. So it's this fine line and I think that's where like

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having a cardiac psychiatrist or a really good therapist, like, I have people

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who can help manage the emotional and mental stress

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of having a heart issue, but also, and at the same

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time harness the power of AI to

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improve our lives. You know, boots, that's interesting because

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I haven't had anybody personally tell me a story like yours, but

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I absolutely believe it. It's sort of an extension of

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what we have called for years white coat syndrome. So I've been

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a doctor for over 40 years.

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White coat syndrome. Oh, white coat. Yep.

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White coat syndrome is when you go in to get your

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blood pressure measured. Doesn't matter if the doctor's actually wearing a white coat or not,

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but your blood pressure goes up because of this anticipatory stress,

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just like you're talking about with your watch. And I've been a doctor

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for over 40 years. I have white coat syndrome. I have to like,

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just Zen out, you know, when I go for my annual physical because my

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blood pressure, you know, bounces up over what it normally

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is. Just thinking, well, golly, what could be going wrong? I'm having my

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annual evaluation. So what you're talking

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about is taking that to a whole new level where it's bothering you all the

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time, not just when you go get your blood pressure checked. Yeah,

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and I totally can believe that, you know,

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the Interesting thing about heart rate variability to me is

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it has different components, how much your heart rate varies when you do different things.

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But I'm finding myself using it with my watch is when

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I'm doing some episodic exercise. So the other

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day I was playing tennis with one of my kids and, and I was running

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all, all over the place and I thought, well, let me see what my heart

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rate is. So it had gotten up to like, after a long point had gotten

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up to 135. And so, you know, that's not terribly high,

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but it's not, you know, my normal is about in the 60s. And so

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I wanted to see how long it took for it to start

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dropping down. And it took a minute or two, didn't ever get back down to

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the 60s. And then we kept playing. But it's that

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one part of heart rate variability that I think

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people can monitor for themselves has to do with your conditioning level.

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And so the better conditioning you are, the faster your heart

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rate drops. If you do something and it gets your heart rate way up and

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it just is kind of staying up there very slowly

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dropping, what does that tell you? Well, it tells you you could be better

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conditioned. And so that's not quite the same as looking at

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your, your wearable and thinking, oh my gosh, what's happening now?

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So, so there's some good things that you can get out of that. And again,

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these are all things that just work. Weren't present when I started practicing

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medicine, when, when I started practicing cardiology. In fact, it was before

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the earliest of these drugs, called

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thrombolytic drugs that would dissolve a heart clot in one of your coronary arteries,

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those were just being test studied. It was in the mid-80s. Now,

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when you think about all the tools that we have, you know, one other thing

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I forgot to mention having to do with heart surgery is

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I think that our ability and heart disease and in other

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areas to use robotics has been limited.

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And it's partly because of expense, because you buy that robot for I don't know

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how much, millions of dollars. And all the proprietary supplies

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that are used with the robot are expensive. And to date,

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the outcomes haven't been shown to be better than a highly skilled

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surgeon. But I could, I could foresee a

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way that those could be used as they are in other

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instances with a minimally invasive approach. So not having to crack

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your sternum, your breastbone, and the recovery

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time for that is much, much faster. There's, there is minimally evasive

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cardiac surgery now where the Recovery time can be in

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days rather than in the month or more that it takes for your

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breastbone to heal, your sternum to heal. So I think all these things

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are things we can look for in the future when we're not there yet.

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Well, you know, it's interesting. I've had a couple of conversations with

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surgeons about that, because with one of my

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defects, myocardial bridging, I'm part of a Facebook support group for

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that. And there's more and more people on, in

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that forum that are going to

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a couple of different places in the United States for

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robotic unroofing. And it's been mixed results. A

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lot of them have had issues with their lungs afterwards. A lot of

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collapsed lungs, a lot of pericarditis that I

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normally haven't been hearing about through, like, the more traditional open heart

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surgery route. And my surgeon, before I had my surgery, I had

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my surgery by a trained Mayo surgeon who

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is down at Intermountain Hospital in Marie, Utah. And

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I asked him about the pros and cons because at the time I was still

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like, should I travel to Chicago? Should I come to you?

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And, you know, he was saying, it's just too dangerous. Like,

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it really is good to have eyes on the heart. And I

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can't remember exactly. It was four years ago now, but, you know, he,

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he said it just is almost safer to still

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have actual hands in there. Getting the lay of the land.

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This is my own way of explaining it. Getting the lay of the land of

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the heart and seeing what needs to happen. But that was four

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years ago, maybe. And, and maybe you can speak to that a little more eloquently

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than I just did, but it just, it doesn't seem foolproof

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to me yet. You were pretty eloquent there, I'd say.

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And you hit the nail on the head. And there are these

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concerns. So, for example, removing that thin piece of

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tissue that's lying on top of your coronary artery, causing a bridge,

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it means different things if you're, if you're, if the

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surgeon's looking at it and can expose your entire

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heart versus if the surgeon's looking through a

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little scope at what the robot is doing. And I, and I

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can. I. I had never heard before that there's an

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increased incidence of pericarditis, but I can

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believe it because the pericardium, you can treat very

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gently if the surgeon. I'm not a surgeon. The surgeon can treat very gently if

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the chest is open, whereas that may be more difficult to do and more

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irritating to the pericardium, if it's done by this

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robot that's being instrumented. What I have heard

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is, although it's not common, there are certainly

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cases where there's a problem with the robotic

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approach nicking the wrong artery or causing

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bleeding or something like that, that it converts to an

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open heart procedure, so an open chest procedure. And

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so honestly, Boots, I don't see that there's been a

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huge step forward in robotic heart surgery at

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present. It's not used very many places, as you know.

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Yeah, I think that's, as I mentioned before, partly expense,

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partly lack of better outcomes, but I think

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also they're like everything. There are a lot of things that need to be

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worked out. Maybe it'll turn out that it's never a great approach,

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but the only way we'll know is when we learn more about it. Right. Here's

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an example where maybe AI is not

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necessarily the route. And this is where we have the human to human

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connection in the operating room. Right,

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right. Yeah. And I, you know, with all my excitement about, about

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AI, and I am excited about AI, I think all of

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this needs to be looked at very carefully because

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it's very doubtful, even to me as an enthusiast, that

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AI is the cure all. It's just not a cure all. I think of it

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more in terms of being able to look at information,

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patterns from vast, vast stores of information that would be

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impossible to look at otherwise. Yeah, one, one example I saw

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recently had to do with rare, what are called

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orphan or rare genetic diseases where they

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don't occur commonly, but they do occur, and they're thought to be

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some of these. I think the definition is fewer than 4,000 a year in the

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United States. So a pretty small number of conditions.

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And what AI has found is that although there may be

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a gene, a specific gene that's thought to be the problem, there

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are other contributing genes that may affect the, that

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do affect, seemingly affect the severity of that

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gene defect, such that in one person it's not a big problem, in another

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person it's quite lethal. And so trying to understand

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all those parameters, because as advanced as geneticists are these

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days, and as large as the databases they look at,

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it's just not currently possible to analyze all the genes in the

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genome. 30 over 30,000 genes, and they're

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over 3 billion base pairs. And so how

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do you analyze that? Well, I'm hopeful, not proven, but I'm

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hopeful that AI can help us look at these things. For

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example, I'll take two other examples. Lots of people have A high cholesterol, it

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never bothers them. So my mother had a LDL

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cholesterol of 250. I mean, that's sky high. But she had an

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HDL cholesterol of her HDL cholesterol was like 100, which is

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also sky high. And so she lived to be

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94. She never took a statin. She never, I mean, she walked, but she

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wasn't like a major exerciser. And so

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that what might have been fatal for somebody else wasn't at all for

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her. And it's all around these surrounding genes, I think that

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we just don't understand. But that gets back to this question about

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even something as seemingly simple as cholesterol management. If we

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knew more about who would benefit from cholesterol lowering drugs and in whom

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there is no benefit, you could say the same thing about drugs that help with

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remodeling the heart. So after a person's had a heart attack,

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there are, we have sort of the guideline driven five

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drugs that are supposed to help in remodeling. Those help in many people,

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they don't help in all people. And maybe it's a contribution of one drug more

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than another. But when, when a person is asked to take five drugs

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up to three times a day, you know, that's very

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difficult to do. And, and talk about raising your stress level. Did I

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miss my noon dose? It's, we can

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do better. And I think AI will be a tool that will help us

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do better. And that's the key. It's a tool

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and I think that it's important how we frame it.

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To me as a patient, it's like, okay, take the human aspect of

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my provider, my healthcare, my team. I have a whole team

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and consider AI as part

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of the team. Yeah, that's exactly it. And,

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and I tell, yeah. And you're still CEO. The CEO of your healthcare.

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We are CEOs and we hire you. We hire all of y'all

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heart healthcare providers and AI. Right. So yeah,

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I think that's a great way to look at it. And, and obviously you've embraced

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this, but I think for those who listen and view your, your podcast,

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I think it's important for people to be the CEO of their own

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healthcare. And I think I strongly feel like the more information they have,

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the better. I will tell you that when the Internet got

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going and people could look up stuff, could get information, even

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before Google, people would come in sometimes to see me

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highly motivated, sometimes highly educated people would have a

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stack of papers this thick and they wanted me to read it, I'm like, oh,

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come on. But as is true with the Internet, in so

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many circumstances, what you get from Internet

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responses is more or less like social media. It's opinions.

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And so having something that helps weed out those opinions, whether it's

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a medical reference, like up to date, or whether it's AI or whether it's

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whatever it is, I think can really help people

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simplify how they think of being their own health care

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CEO. I love that term. Yeah. And can we unpack

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that a little more? Because where I'm now going in my brain is,

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should I show up in your office today as a patient,

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how would I. And I want to get an A plus from you is like,

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rock star patient. You know, what would that look like to you as a

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provider? And let me give you an example. One thing I make up that would

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look, you know, be A plus rock star would be I

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show up with, like, my list of medications I'm on. I can

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give you maybe I have a heart rate or,

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excuse me, a blood pressure monitor at home, so I can maybe show up with

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some data. I can show up with maybe a food log of what I've eaten

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in the past week. Like, I. I always come at. I

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always approach it as, how can I help? You have the best

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picture of me because I only get, like, a certain amount of

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minutes with you. Right. But add to that or subtract from

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it. Like, what. What is a rock star patient that helps you

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perform your best care for the patient? Well, you've got a

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lot of components there in what you do, and I think

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meaningful information is extremely valuable.

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In some cases, your healthcare provider may want to get that in advance so they

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can look at it. Other times, you can just bring it forward. I think, from

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the provider standpoint, from the physician standpoint, having

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that distilled in a way that if I'm seeing you,

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I can take a look at what you've brought in, and in two or

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three or four minutes, I can understand it is incredibly much more

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valuable than hearing about each single episode that you've had

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that you think might be important to your health. And so I think that will

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be. That is an advantage of having some quantifiable information

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that you'll have from your. From your watch, from whatever. And so. But rather

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than showing, Bringing every tracing in, showing it, say, well, here's what the summary

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is, and they may want to dive into it more. So I think

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that I think food logs are great. I think exercise logs are great. I think

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exercise logs along with if you have a wearable, what's going on with your

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wearable when you're exercising? If you say, well I'm, I'm walking,

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you know, three miles a day and it turns out you're walking one mile an

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hour and your heart rate never varies, that's not the same thing as a brisk

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three mile a day walk. So I think those things are all very

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valuable and I think having them, you're being able to

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produce them which takes a little bit of work on your, on your side in

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a way that's pretty easily understandable and digestible. It's is

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invaluable to your healthcare provider. Some of these things. If I could

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interrupt and to yourself, because think about it, I mean

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it's so interesting the conversations I have with people

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who, and you know, I'm pretty well known in my community. A lot of people

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know I had heart surgery and I ended up speaking on the TEDx stage about

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it. So then you know, that made friends. Congratulations. Thank you. It

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was really neat. So I find that I'm like the heart

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confessional. So people are like the health

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confessional. People just come up to me and just start talking, talking to me

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about like their life which I'm happy to hold space for. But it's

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so interesting to me. I'll ask questions and how

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people hadn't thought to even raise awareness around that

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aspect of their bodies or their health or that perspective.

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Right. And so I guess that's where like your

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role comes in as provider. Being able to ask the right questions

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to boil down to what needs to be addressed that day.

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But I just find with the wearable, just the

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food log, I bring that up because like when the more I look at a

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food log, the wearable, yes I'm taking a vacation from it right now.

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But it, what it did do on a positive level is

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raise my awareness and it helped me make the

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changes I needed to make for my health because

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therefore, because then I was aware and I was getting the real

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time input data input day to

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day. So that's another good thing about AI is that it

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can raise your awareness. And I know there's like apps on the phone now for

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even food logs. I did like the standard like pencil and paper

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but there are, there are so many tools and tricks that we have at our

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palm on our, on our iPhones that like can help us raise

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our awareness to be better patients for healthcare providers like

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you. Yeah, those are great comments

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Boots. The food log reminds me so I've off and

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on had trouble with my weight and particularly as your metabolism starts

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slowing down in your 30s and 40s. And so I remember

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my internist at the time said, one, just go see

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this nutritionist. I'm like, I know about nutrition. And they said, no, just go

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see him. And so one of the things they did was we sort of talked

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for a while and they said, well, why don't you do a food log? And

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I said, why? They said, well, maybe you're, you have some

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eating habits that you could think about. And they said, for

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example, do you eat at night? And I was like, yeah, but not that much.

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So when I kept that food log, it was just, it

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was, I don't know what. It was astoundingly terrible. So, you know,

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I was, I was, I was getting in an extra, you know, 6 or 800

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calories after dinner. So. And that, that was a habit

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I'd had for a while. And I, I just thought, well, you know, how bad

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can like, some chips and dip be? Well, it can be bad.

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And you're like, oh, yeah.

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So I think, I think your comment, I'm kind of

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circling back to your comment about self

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awareness. It, it is, when you do things like that, it is very

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helpful. I also want to make one comment about interaction

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with healthcare providers and AI. So you may

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well be aware of this or you may not be. There's, there

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are programs now or they're products that use what's called

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ambient AI to record your interaction with your healthcare

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provider. We, we use one here. The one we use is called

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Nuance. Dax. Dax. But there's several of

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these, and they don't just record your conversation. They put it

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into a, into a note. So you and I are

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talking. And if this were, if we had nuance

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on at the end of this, I'd say summarize my conversation with Brooks and

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it would have it all summarized, or in the case of a medical visit,

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it'll have it all summarized into what your present illness is, what

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your past medical history is, what your review systems

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are. And what that does is it frees your

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doctor, nurse, healthcare provider from having to take notes. Or

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many of us have both personally on the provider side, but also on the patient

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side, met with our primary care physician or our physician, and

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seeing them, they're just typing away, you know, furiously during our

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interaction. This frees them to really have a much more meaningful

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conversation. And that, that is again another example

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of benefit from AI. Now since we use that, I know

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that I need to read that because it may be Full of errors or may

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have misinterpreted something. But it still is so much faster than my

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starting from scratch to dictate or type in a

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medical. A note from our medical interaction. Well, and how

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many patients do you see in a day? Right. And you have to keep all

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those people straight. That's right, yeah. My cardiologist

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uses. I don't know what the program is, but yeah, she.

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She is sold on it. She said it has saved her so much

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time. Yeah, I think it's saved many people. And electronic medical

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records, or electronic health records, I think have

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many positive to them, but from the provider side,

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they have been an enormous time sink. So I think these

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new approaches will be helpful. In fact, it's a little bit

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of an aside. I have a hobby of writing

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medical fiction, so I. I wrote a. I wrote a novel about electronic

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medical records and things that could go bad with electronic medical

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records. It's a novel. It's not factual. I'm glad you brought that up. What

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is the title of it? I was just reading the summary of it.

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Oh, the title of that is Coded To Kill. And the.

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The premise is that there's a group of ne'er do wells

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who are hacking into the unified medical records of a big

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hospital and using it to dig up

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dirt. But also, have you heard the term Internet of things?

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No. So IoT or Internet of things is

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a term that's used to describe how everything's

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connected to everything. And a lot of what we do, you know, for

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example, we don't have a system like this in our home. But if you.

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If it's a really hot day and you want to crank down the air conditioner

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on your way home, on your drive home, you can do that through your Internet

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of things. In this case, in the. In the novel, because so many things

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are connected in a hospital setting, these ne'er do wells are

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leveraging this Internet of things. So, for example, I didn't have

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any idea until I started working on this. When you're in the hospital and you

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get a bag of IV fluids, I figured there was a pharmacist or

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a pharmacy tech who put together those

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bags. Well, in big hospitals these days, it's done by robots, which are

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incredibly accurate and they don't make mistakes,

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except for if they're programmed wrong. And so you can imagine how

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somebody who's trying to kill somebody in the hospital could

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reprogram that pharmacy robot to give the wrong medicines or give a

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lethal dose of something. So anyway, the novel's about things like that.

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And. Oh, wow. Great thing about. Thing about fiction is you can just make up

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whatever you want and there's no fact checking. Exactly. Well, I was

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gonna. Whoops, I just hit my mic. I was just gonna ask. I hope it

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wasn't based on any true stories that you know of.

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The novel is not based on any true novel stories. What. What

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stimulated me to write it, though, was when I was at the University

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of North Carolina, there was an incident there that a

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famous athlete, that all kinds of people had looked at their medical record. They weren't

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supposed to be looking. I mean, those are supposed to be private. But they'd looked

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because we had electronic medical records. So I had the

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dubious charge of having to speak to about 50 faculty members who'd

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inappropriately accessed this athlete's record. And, you know, I

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know I don't know about you, but about me, I worry that that

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happens. And so we actually have, at the University of Michigan, as do many

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places, we have a AI driven scanner of electronic medical

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records that looks at every single electronic medical record every

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day and figures out whether if you looked at. If

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I looked at your record, was that because I'm your cardiologist or

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just because I'd heard you were in the hospital? And if I was

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doing that for my own reasons at the University of Michigan, I get fired.

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And I think that's the way it should be. But you know, that that also

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is something that's benefited from the advent of AI Even before we were

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hearing about. AI Wow, you are a treasure. And

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I either blabbermouth. I'm not sure which one.

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Before we part, I have two

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questions that you can answer very succinctly. Number

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one, what is the medical

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advice or advice you wish you

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could give to all heart patients? If there's just something you want to scream from

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the mountaintops that you don't get to say enough, that you just

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don't feel said enough to we heart patients. What is it? Well,

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it's very much akin to what you were talking about. And I always learn from

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people. You can and you should be the CEO of your health. And

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there are things that you can do to improve your health to

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prevent having more heart problems that aren't as terrible as

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you think they are. So be the CEO of your health. Love

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it. And then number two, and I think we already have an

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idea just based on our whole conversation today. But like, when you get

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up in the morning and you go to work at University of

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Michigan, what are you the most excited about? Well, I'm

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excited. We talked a lot about AI. I'm excited because

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I think there's a future in health care that's going to

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accelerate more than at any time during my 40

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years in health care. And I think that's exciting because I think

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we'll get the tools and have the ways that we can control

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our own health and that our patients can control their own health in a

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manner that really was unimaginable 15 or 20 years

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ago. So I'm excited about that.

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So being proactive instead of reactive.

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Right. I'm less excited about the fact that one of the two

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elevators from the parking lot I park in is being worked

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on, and it's seven flights of stairs. So at the end

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of that, I feel. At the end of that, I feel good about it. Otherwise,

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I'd never be walking those seven flights of stairs when I come in.

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I hope you get your own parking space, by the way. Well,

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I sort of have a parking place. Okay. I think you've

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earned it. I think it's okay. You can own the fact that you have your

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own. Your own parking space. Well, I will. I will. Then, yes,

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I have my own parking space. Oh, good.

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Well, Dr. Marshall Ranghi, thank you so much

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for your time today. I speak for

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all heart patients. We all benefit from your work, and I

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can hardly wait to see what comes next from you and your

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team at the University of Michigan. And for everyone

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listening today, be sure to check out the

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show notes. I'll have a bio in there of Dr. Range

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and a way to find him and buy his

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book, support his work and just

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keep taking care of you, like he said. Like I said, you are the

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CEO of your own health. And remember, in case no one has

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told you today, I love you. You

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matter, and your heart is your best friend. Thanks,

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Dr. Runge. Thanks, Boots. A privilege to be on your show.

Show artwork for Open Heart Surgery with Boots

About the Podcast

Open Heart Surgery with Boots
Giving voice to heart patients around the world.
Giving voice and providing hope to heart patients around the world. Let's complete the healing picture and so you can thrive post heart surgery.
Hi, my name is Boots Knighton, and I am an open-heart surgery patient in Victor, Idaho. Diagnosed with three different congenital heart defects at 42 years old, my life changed in an instant. In 2023, I launched this podcast because it was what I needed when I was facing heart surgery. I interview hearts of all kinds and as well as health care providers. You are the CEOs of your own health, and this podcast will teach how to advocate for your heart so you can live your best life.