Eric Topol

This is a picture of the retina.

This was the first major hint training 100,000 images with supervised learning.

Could the machine see things that people couldn't see?

And so the question was to the retinal experts, is this from a man or a woman?

And the chance of getting it accurate was 50%.

But the AI got it right, 97%.

The ability for computer vision to pick up things that human eyes can't see is quite remarkable.

Here's the retina picking up the control of diabetes and blood pressure.

kidney disease, liver and gallbladder disease, the heart calcium score, which you would normally get through a scan of the heart, Alzheimer's disease before any clinical symptoms have been manifest, predicting heart attacks and strokes, hyperlipidemia, seven years before any symptoms of Parkinson's disease to pick that up.

in the future, we'll be taking pictures of our retina as checkups.

This is the gateway to almost every system in the body.

Now, as a cardiologist, I love to read cardiograms.

I've been doing it for over 30 years.

But I couldn't see these things.

Yes, what a great question because, again, we should be doing this.

The retina is probably the richest image there is from our body because it's a gateway to, firstly, not just the brain, but to every part of our body.

Surprisingly, you know, things like the kidney, the liver, even things we never would have forecasted.

But especially, you know, telling us about risk for Alzheimer's and Parkinson's and many other conditions, heart disease, risk of stroke.

So it turns out that's one area, not in the United States, but in Hong Kong and in Asia, where they have started companies to provide that data from a retinal picture.

So it isn't available here.