Oracle Puts OpenAI in Patient Portals
Giving patients direct access to AI-translated medical records is a bold play to win the EHR wars, but it shifts a massive cognitive burden from doctors to software.
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.
Selling Autopilot to a Broken Healthcare System
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.
Wearables and AI predict knee osteoarthritis pain
A new machine learning model proves that how we walk, rather than how much we walk, reveals the true severity of arthritic joint pain.
The Danger of Unstructured Healthcare Data
A massive data breach exposing 3.8 million patient records exposes the severe vulnerability of backend healthcare vendors.
AI predicts patient paths after emergency room discharge
A new generative model beats traditional machine learning at predicting which discharged emergency patients will return to the hospital.
Dental data is the new security nightmare
A massive breach exposing millions of dental records proves that niche health administrators are now the primary targets for cybercriminals.
New Heart Guidelines Fail to Clarify Mid-Risk PE
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.