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 ...

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

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

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 ...

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

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 ...

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

Artificial Immune Systems (AIS) and anomaly detection algorithms are computational methods inspired by the adaptive and self-regulating properties of the biological immune system. By emulating the ...

POTOMAC, Md., Aug. 4, 2025 /PRNewswire/ -- Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It produces dopamine, a neuromodulator that helps predict future rewards based on ...