Hello, and welcome back to ACRAC. I'm Jed Walpaw, and we've got a really exciting show for you today. I am excited to have with me, Dr. Greg Booth, who is an anesthesiologist in the Navy.

He's stationed at the Naval Medical Center in Portsmouth, Virginia, and he's also the program director for the anesthesiology residency there.

He's really interested in artificial intelligence in anesthesiology, and using it to kind of think about different things in different ways.

And this is going to be quite different than the discussion we had with Dr. Kennisin, where we talked about kind of closed loop anesthesia delivery systems,

and you'll see what we're talking about when we get into it with Dr. Booth. But Greg, welcome to the show.

Thanks so much, Jed. Really appreciate this opportunity. I think the first time I was in your podcast, you had maybe 30 or so posted.

So it's awesome to see what you've done with it and the reach that you've had. So it's a big honor. Thank you for having me.

Well, thanks for saying that. Yeah, it is hard to believe I was talking to someone today and realizing that we're six years in 230 episodes give or take, and it is hard to believe.

But it's certainly really grateful for having had the opportunity and still having the opportunity to keep doing it and meet and talk to people like you. So thanks for being here.

Let's start with you. Let's tell the audience a little bit about you, what you do, kind of how you got where you are and how you develop this interest in AI and healthcare.

Sure. So as you mentioned, I'm a staff anesthesiologist in the program director, Naval Medical Center sportsman.

You know, truthfully, when I was a resident, my kind of career goal was to become a program doctor. And so it's really been kind of a dream come true.

I honestly, I love what I do. It's a blast that like waking up every day to do it. I get to work with, you know, in the GME world and really work, you know, closely with all my residents.

I also get to do a lot of research on the side. So how I got into all that it's been, you know, probably 10 or 12 year journey. I started in undergrad as a biomedical engineer.

And, you know, as an engineer, you, you really stop asking if something is possible. You really focus more on how is, how is it possible? So the assumptions it's going to happen.

The question is, was it exactly going to look like how long is it going to take? And, you know, when I went to medical school, I kind of lost that for a little bit.

And I think it's some of the fire hose education that we get. You just have to, you know, get through a lot of content.

And I found myself missing something, but it wasn't really to residency, but I realized that it was really that thing was missing was my creativity. And it was, you know, be able to almost express kind of myself, almost an art form through kind of biotech or, you know, research essentially.

And once I became a staff, I started working on a project. It wasn't actually too dissimilar to some of the things that Dr. Kenneson was working on, you know, he featured in recently.

I'm looking at kind of predicting human and variables from non-imvasive biosignals. And I realized very quickly that I was missing something.

I had to get more knowledge, more experience on how to take this data and make something meaningful with it. And that was the point I really started diving into the AI part of biotech.

And, you know, I just learned as much as I could kind of study on my own. And I got to the point where I felt like that knowledge was just still too superficial.

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