An AI model accurately predicts a person's race from a chest radiograph with stunning accuracy. Here's why it matters, and how it poses research questions about bias in medicine.
You need to have an unlimited imagination about what you may be able to pick up. One of the striking things about your recent study is that it was almost unimaginable that machines could have eyes like this.
This morning, I saw that Google AI has now revealed how they're going to use chest x-ray embedding and use just 500 images to train a COVID model. That's crazy if you think about what that means in our field. Or recently when Amazon said, hey, why don't you come work with us? Our expertise is to figure out how to inject adverts at runtime.
I'm intrigued by the journey you've taken to come to America, and I'm also reminded about the richness that international medical graduates bring. Not only are they necessary in terms of man- and womanpower, but they also bring a richness that people don't often appreciate. Your life story certainly is a nice illustration. Talk about your origins and your journey to get here.I was born east of Nairobi. I'm the first physician in our family.
It's been great. I've enjoyed working at this intersection of medicine and technology. I've had fantastic mentors and friends, and my cup keeps overflowing. I'm trying to pay it forward.You've also worked at the National Institutes of Health . Tell us about your experience with theAbout 2 years ago, the NIH was trying to build capacity and rejuvenate this focus on AI and data science. It was clear to me that the NIH was behind on this area.
We see this a lot in the marketplace. Everyone wants you to install their platform — Judy's platform — so that I can then distribute all the AI models. If you've tried to work through such a program, you know how difficult it is, so you're never going to change the platform. We see that type of market consolidation coming.
Another area, apart from population health, for opportunistic screening is the area of triage. Most radiologists are not in academia; they are in private practice, so they must read more studies. I would bet my money that we're going to see adoption of these AI technologies in these markets where you are reading more studies. I don't know how enjoyable the job will be if you only read complex studies because all the normal studies have been read by the AI algorithm.
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