Jensen Huang

That is completely true.

Today, just about every radiologist is using AI in some way.

And what's ironic though, what's interesting is that the number of radiologists has actually grown.

And so the question is why?

That's kind of interesting, right?

It is.

And so the prediction was in fact that 30 million radiologists will be wiped out

But as it turns out, we needed more.

And the reason for that is because the purpose of a radiologist is to diagnose disease, not to study the image.

The image studying is simply a task in service of diagnosing the disease.

And so now, the fact that you could study the images more quickly and more precisely without ever making a mistake and never gets tired,

You could study more images.

You could study it and

3D form instead of 2D, because the AI doesn't care whether it studies images in 3D or 2D.

You could study it in 4D.

And so now you could study images in a way that radiologists can't easily do, and you could study a lot more of it.

And so the number of tests that people are able to do increases.

And because they're able to serve more patients,

The hospital does better.

They have more clients, more patients.