It's the Brian Lear Show on WNYC.

I'm producer Amina Serna, filling in for Brian today.

Good morning again, everyone.

When we think of artificial intelligence, what comes to mind? Chatbots or uncanny images of

humans with extra fingers, maybe data centers and your utility bills, or dread about the future

of the labor market. What about health care? AI is already diagnosing diseases, analyzing CT scans and assisting inpatient

care, sometimes more efficiently than doctors. This raises an uncomfortable question. If AI can do a lot

of the diagnostic work, what are the physicians supposed to do?

How do we teach the next generation of doctors to use these tools but not develop biases

or an over-reliance on them?

Medical schools are already grappling with these questions.

This fall, Stanford Medicine became one of the first U.S. medical schools to make

AI training mandatory for all medical and PA students.

With me now to talk about how we train doctors when the tech is changing faster than the curriculum,

and what this all means for patients is Dr. Lloyd Minor, Dean of University, Stanford University School of Medicine, and VP of Medical Affairs

at Stanford University. Dr. Minor, welcome to WMIC.

Thank you, Amina. It's great to be with you today.

So doctors are already using artificial intelligence, right? Can you give us some examples of things

AI is doing in medicine

right now? Sure. And you and your introduction covered a lot of really exciting things that

are going on in applications of AI and medicine today. But from assisting in the reading of diagnostic

studies, such as radiographs, to assisting in interpretation of pathology slides,

...