Want to see AI in healthcare? Look anywhere. Want to see AI underperforming in healthcare? The same directive applies.

The multihospital Baptist Health system is responding to the national shortage of N95 masks by sanitizing its existing supply for safe reuse. And it’s delegated the task to non-humans.

Two radiologists reflect on what went wrong AI-wise with the Boeing 737 MAX, outlining potential parallels between aviation and their specialty. 

Researchers have used machine learning to develop a blood test that can find 50 or so types of cancer.

A disease that hits most people mildly but some very hard—and so wreaks havoc with its unpredictability among the infected—would seem a good target for AI’s predictive prowess.

Researchers in South Korea have shown that AI trained on photos of both Asian and Caucasian patients can help dermatologists more accurately diagnose many diseases and disorders of the skin in both subpopulations.

Venture capital firm General Catalyst and other investors are sinking $51 million into Columbus, Ohio-based Olive with the aim of growing the AI startup’s capacity for automating administrative processes in healthcare.

A healthcare AI company has spotted several unexpected, off-label drug combinations that may do the job against COVID-19. In any case, the company is offering its complete AI toolkit free of charge to drug developers working on COVID treatments.

Any interested party can now see state-by-state forecasts for peak hospitalization vs. capacity due to COVID-19 over the coming four months.

When Windy City residents send out tweets containing the term “food poisoning,” an algorithm offers a form for sharing details with Chicago’s public-health officials. Why not do the same with keywords like “cough,” “fever” and “trouble breathing” to help track COVID-19?