Hi and welcome to the A16Z podcast. I'm Hannah and today we're talking about AI in medicine,

but we want to talk about it in a really practical way, what it means to use it in practice and in a

medical practice, what it means to build medical tools with it, but also what creates the

conditions for AI to really succeed in medicine and how we design for those conditions, both

from the medical

side and from the software side.

The guests joining for this conversation in the order in which you will hear their voices

are Mintu Tarakia, a cardiologist at Stanford and director of the Center for Digital

Health.

Brandon Bollinger, CEO and founder of Cardiogram, a company that uses heart rate data to

predict and prevent heart disease, and VJ Ponday, a general partner here at A16Z and head of our

bio fund.

So let's maybe just do a quick breakdown of what we're actually talking about when we talk about

introducing AI to medicine.

What does that actually mean?

How will we actually

start to see AI intervene in medicine and in hospitals and in waiting rooms?

AI is not new to medicine. Automated systems and healthcare have been described since the 1960s.

And they went through various iterations of expert systems and neural networks and called many

different things.

In what way would those show up in the 60s and 70s?

So at that time, there was no high resolutions.

...