
Patients now write their own emergency care plans
Giving patients direct control over their digital care plans shifts the power dynamic in emergency medicine, but its success hinges entirely on system-wide integration.
Discover the newest research about AI innovations in 🏥 General Practice.

Giving patients direct control over their digital care plans shifts the power dynamic in emergency medicine, but its success hinges entirely on system-wide integration.

A major consolidation in value-based care signals that niche health startups can no longer survive on venture capital alone in a tightening regulatory market.

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.

Deploying diagnostic AI to vulnerable populations is a high-stakes test of whether technology can solve the physician shortage without worsening health disparities.

NHS England is deploying ambient voice technology to 70,000 clinicians in its largest regional rollout yet, testing whether AI can finally solve the healthcare system’s administrative crisis.

Forcing local clinical AI models to follow strict formatting rules stops software crashes but does not guarantee safe medical editing.

Clinical calculators dictate life-or-death medical decisions every day, but doctors have had no objective way to know which algorithms are actually safe to trust.

A new benchmark reveals that today’s best artificial intelligence models only look safe in the clinic because they constantly cry wolf.

A new algorithm spots rare growth disorders years before traditional clinical methods, shifting the focus of pediatric screening from reactive tracking to active prediction.

Giving patients Bluetooth blood pressure cuffs improves overall health outcomes, but technology alone cannot erase deep-seated racial disparities in clinical care.