
Skin lesion AI misses its uncertainty targets
A new benchmark reveals that even calibrated image-recognition models struggle to safely hand off difficult skin cancer cases to human specialists.
Discover the newest research about AI innovations in Research.

A new benchmark reveals that even calibrated image-recognition models struggle to safely hand off difficult skin cancer cases to human specialists.
Silicon Valley is betting billions that AI agents can run clinical workflows without human intervention, but the messy reality of hospital operations is pushing back.

A new machine learning model proves that how we walk, rather than how much we walk, reveals the true severity of arthritic joint pain.

A massive data breach exposing 3.8 million patient records exposes the severe vulnerability of backend healthcare vendors.

A new generative model beats traditional machine learning at predicting which discharged emergency patients will return to the hospital.

A massive breach exposing millions of dental records proves that niche health administrators are now the primary targets for cybercriminals.

A massive multi-center study reveals that the new 2026 AHA/ACC pulmonary embolism framework adds clinical complexity without improving risk prediction for the vast majority of patients.

Hospital administrators are treating clinical artificial intelligence as a cost-saving cure, but the frontline workforce sees a direct threat to patient safety.

A new study shows that smart prompting makes cheap, small AI models triage patients just as safely as expensive ones.

The federal government’s new plan to rescue medical devices from regulatory limbo comes with a hidden catch that could leave many innovators behind.