AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

An artificial intelligence algorithm developed by a team at the Montreal Heart Institute is as good as, or even better than, ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, today announced new ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Imaging techniques play a key role in the diagnosis of cancer. Precisely determining the location, size, and type of tumors is essential for choosing the right therapy. The most important imaging ...

Preparing cancer patients for difficult decisions is an oncologist’s job. They don’t always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...

Medicine is already a fruitful area for artificial intelligence; it has shown promise in diagnosing disease, interpreting ...

This article is the first of a three-part series on artificial intelligence and the changing nature of evidence in New York ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

Artificial intelligence is often sold as a tool to speed the clean energy transition, but the technology’s own appetite for ...