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On Point with Meghna Chakrabarti

This doctor says he can make AI in health care safer

On Point with Meghna Chakrabarti

WBUR

News, On Point, Npr, Talk Show, Daily

4.33.9K Ratings

🗓️ 10 February 2025

⏱️ 50 minutes

🧾️ Download transcript

Summary

Artificial intelligence is growing fast. And it’s changing how doctors provide care for their patients. How do you make sure these new AI tools are safe? Dr. Brian Anderson says he has an answer.

*** Thank you for listening. Help power On Point by making a donation here: wbur.org/giveonpoint

Transcript

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0:00.0

Support for this podcast comes from All About Change, a podcast with firsthand stories from

0:05.9

activists who are changing the world, like Coda actor Troy Kotzer, V. Aaron Brockovich, and

0:12.0

disability activist Shane Burkaw. Listen to stories that give us all hope on All About Change,

0:18.5

wherever you get your podcasts.

0:26.9

Support for WBUR comes from MathWorks, creator of MATLAB and Simulink Software for technical computing and model-based design. MathWorks, accelerating the pace of discovery

0:32.4

in engineering and science. Learn more at MathWorks.com.

0:38.0

This is On Point. I'm Megna ChakraBardi. Artificial intelligence is changing everything,

0:44.1

even your visits to your doctor. There are a bunch of tools that are already starting to be

0:49.2

used that help automate parts of the doctor's job.

0:55.0

Things like, oh, language models can help me write my notes better or write emails better.

0:59.9

I think there are increasingly even tools that start looking at images, for example,

1:04.5

ultrasound images of the heart, and pre-populating a report that a cardiologist would write about that.

1:11.2

Dr. Ziod Obermeier is an associate professor of health policy and management

1:15.1

at the University California Berkeley School of Public Health.

1:18.8

There's a second type of tool that I find even more exciting than that,

1:22.5

which is tools that help doctors do things that doctors don't know how to do today.

1:28.7

And so one example of that is my colleague Regina Barsoway at MIT has done an enormous amount of work on developing

1:35.6

AI tools to read mammograms in ways that are actually better than what any radiologists can do.

1:41.9

And so this algorithm looks at a bunch of mammograms and looks at the

1:46.7

outcomes that patients have over the next five years. Do they get a biopsy? Do they end up having

1:52.2

progression in their breast cancer? And it learns from those data and then delivers a prediction

1:58.7

based on how the mammogram looks today about what's going to happen to that patient's cancer.

...

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