There’s a lot of excitement around how AI can finally enable personalized or precision medicine. The promise is that if we collect enough new data—genomics, biomarkers, lifestyle data, wearable data—we’ll be able to tailor treatment precisely to each person. Sometimes that’s true. But two things are often overlooked: we don’t always have truly personalized treatments … Continue reading Whole-chart Medicine
AI
20% Dreamer, 80% Builder
The other day I was walking by a construction site. I wondered what they were building. The fence around the site was covered by blocking material, and there was a sign with the construction company's name on it. I walked up to the sign and saw a picture of a gleaming building, with a central … Continue reading 20% Dreamer, 80% Builder
Designing with bias in mind
You may remember this alert from 2018, when a ballistic missile warning went out to the people of Hawaii. If you don't remember it, that’s OK—it turned out to be a false alarm. Although the full cause was never made public, there was widespread speculation that it stemmed from a poorly designed UI—the user interface … Continue reading Designing with bias in mind
Let’s not outsource humanity
If you've attended any talks about AI in radiology in the last couple of years (including mine), then you've probably heard Geoffrey Hinton’s 2016 prediction that "in 5 years deep learning is going to do better than radiologists" and so we should stop training new radiologists. Turns out that wasn't just wrong, it was shockingly … Continue reading Let’s not outsource humanity
Redefining “better”
In Seth Godin's podcast Akimbo, he discusses the concept of being supple, or being resilient in a changing world. In the subsequent episode, he answers listener questions about the previous week. A filmmaker asks what he should do, given that much of the creation of pictures and videos has shifted away from experienced professionals to … Continue reading Redefining “better”
The Problem with Terminators
In the movie The Terminator, Reese, the bodyguard from the future, talks about how the machines took over: "Defense network computers. New... powerful... hooked into everything, trusted to run it all. They say it got smart, a new order of intelligence. Then it saw all people as a threat, not just the ones on the … Continue reading The Problem with Terminators
Easy and impactful
At an AI-in-healthcare discussion event, someone asked a question - what opportunities are there for AI in healthcare? That's a very broad question and one that each person or company entering the healthcare AI business is going to have to answer for themselves. Perhaps a more interesting question is, once you have some opportunities in mind, … Continue reading Easy and impactful
Red Goggles 