
Feeding raw data to medical AI backfires
A new benchmark reveals that how we format electronic health records for large language models completely alters their clinical accuracy.
Discover the newest research about AI innovations in 🧠LLM’s.

A new benchmark reveals that how we format electronic health records for large language models completely alters their clinical accuracy.

The battle for AI supremacy has moved from chatbots to wet labs, and Anthropic is spending heavily to challenge Google’s dominance in drug discovery.

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

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

Medical AI models that ace static exams fall apart when an automated adversary starts asking hard questions.

New research reveals that as digital therapy sessions drag on, artificial intelligence loses its ability to detect suicidal ideation, even as human clinicians remain perfectly sharp.

By measuring what an artificial intelligence model fails to reconstruct in an electrocardiogram, researchers have found a highly generalizable way to predict mortality.

A new multi-agent AI pipeline proves that the safest way to use language models in hospitals is to stop treating them as autonomous writers and start using them as structured conflict detectors.

A new double-blind trial reveals that specialized medical AI still cannot match human doctors when prescribing antibiotics for complex hospital infections.

A new clinical trial reveals that giving patients ChatGPT before or after their specialist visits does not reduce their anxiety or help them make better treatment decisions.