STAT Health Tech: AI in radiology, Schizophrenia app, and more

Mario Aguilar covers technology in health care, including artificial intelligence, virtual reality, wearable devices, telehealth, and digital therapeutics. His stories explore how tech is changing the practice of health care and the business and policy challenges to realizing tech’s promise. He’s also the co-author of the free, twice weekly STAT Health Tech newsletter. You can reach Mario on Signal at mariojoze.13.

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Katie Palmer braved frigid temperatures in Chicago last week to learn about the hot, hot world of using artificial intelligence to analyze medical imaging at the Radiological Society of North America annual meeting. She’s already delivered two brilliant readouts:

• Radiology was an early adopter of AI technology but as researchers and startups forge ahead lean with a new wave of the technology, practices and are still scrambling to catch up with the older generation of tech. Read more here.
• With the rise of large vision models that can perform broader interpretation of imaging like chest X-Rays, there’s a growing debate about how much work should be offloaded to AI — especially given the shortage of radiologists. Read more here. 

Schizophrenia DTx is headed to FDA

Speaking of frigid temperatures, last week I drove 60 terrifying, snowy miles on uncleared Vermont highway to attend a digital health summit at Dartmouth College’s Center for Technology and Behavioral Health. On top of some very interesting perspectives on AI regulation throughout the day, the highlight was the first U.S. presentation of data from an RCT of an experimental digital therapeutic, CT-155, that treats negative symptoms of schizophrenia, including lack of motivation and the inability to feel pleasure.