Discover the newest research about AI innovations in 🧠LLM’s.
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.
A new AI model reconstructs missing neonatal heart signals using light-based sensors, bypassing the need for irritating skin adhesives in intensive care.
Automating lupus tracking with open-source language models could finally bring standardized disease monitoring to busy clinics.
A new clinical benchmark reveals that large language models fail frontline health workers unless their queries are translated into English first.
A new pilot shows that automating clinical notes saves little time but dramatically lowers cognitive fatigue.
A new AI agent named Biomni can design and run its own lab experiments, shifting the bottleneck of medical discovery from human labor to machine execution.
A new AI model drafts emergency head CT reports that radiologists cannot tell apart from human work.
