Eric Topol

Why don't you take us through that to kind of exemplify where the problems are in medicine today?

Yeah, no, I think it exemplifies the problem where her 80-year-old mother had to drive her two and a half hours to get to the doctor.

And there was very little time at which she could have.

And you get to the point about where medicine, you know, 250,000 people die each year in the United States from errors and deaths.

800,000 from disability total or deaths.

And so this issue that we have today in medicine, summarized by that doctors aren't superheroes.

Generally, we have a lot of deference, the public to doctors, and patients are often self-centered.

self-censored about things that they would share.

And there's only 18 seconds before they're interrupted to tell their story and all those sorts of things.

So that's the backdrop to an AI do.

And let's get into that now because you do like a side-by-side comparison.

of medicine today versus AI, whereby, for example, doctors get tired, AI is indefatigable.

Take us through that by comparison, if you will.

Yeah.

No, I think it's really interesting, your approach here, because you basically review the serious problems we have in the practice of medicine today.

And then you get into where AI could lend a helping hand.

And you also review some of the liabilities of AI.

So like you said, it's not a love letter for AI.

But there's a lot of people right now who have antibodies to AI.

Like, for example, there was a Wall Street Journal essay on the 30th of August.