
AI struggles to extract cardiac arrest details
Automated medical registries promise to slash administrative burdens, but a new trial reveals that large language models are not yet reliable enough to replace human chart reviewers.
Discover the newest research about AI innovations in 🧠LLM’s.

Automated medical registries promise to slash administrative burdens, but a new trial reveals that large language models are not yet reliable enough to replace human chart reviewers.

A new study reveals that simply telling an AI to act like an insurance company causes it to reject treatments that human doctors deem necessary.

A massive $65 billion funding round positions Anthropic to dominate clinical AI, but the real test is whether hospitals will trust its models with patient lives.

An AI giant is moving from writing software code to designing biological molecules, raising both commercial hopes and biosecurity alarms.

A new AI system called MedGenesis can compress years of clinical research into hours by autonomously generating hypotheses and analyzing patient data.

Using artificial intelligence to grade medical answers backfires because algorithms prefer long-winded fluff over actual clinical accuracy.

Automating cancer registries with artificial intelligence sounds like an easy win, but new data shows these models fail at the precise timelines crucial for tracking patient care.

Ambient clinical AI is no longer just a digital scribe; it is actively inserting itself into financial and medical decisions.

A new study reveals that even the smartest medical AI models cannot accurately judge when they are wrong.

Most clinical AI models fail when they leave their home hospital, but a new 26-model suite proves that reproducible clinical tools can survive the transition to different healthcare systems.