
AI finds clinical trial results better than humans
A new AI tool proves that human error, not machine limitation, is the biggest obstacle to tracking missing clinical trial data.
Discover the newest research about AI innovations in 🧠LLM’s.

A new AI tool proves that human error, not machine limitation, is the biggest obstacle to tracking missing clinical trial data.

A new startup is betting that conversational AI can bridge the dangerous information gap between doctor visits for chronic disease patients.

Patients who read AI-generated summaries of their brain scans feel significantly more confident, but they do not actually understand their medical results any better.

A local language model can flag stroke patients directly from emergency room triage notes, bypassing the need for cloud-based data sharing.

A new study shows that a consumer-grade computer running an LLM agent can build world-class medical AI without elite engineering teams.

A new foundation model proves that simple heart and breathing signals recorded during sleep can predict complex brain and heart diseases.

Giving consumer smart ring data to a raw language model to spot depression fails completely, unless you teach it how to think first.

A new automated tool exposes how easily human editors miss shifted endpoints in published medical research.

A new head-to-head trial reveals that while human doctors falter when listing multiple possible diagnoses, artificial intelligence maintains its accuracy.

Big Pharma is learning that keeping proprietary data locked in a vault is no longer the fastest way to win the drug discovery race.