Discover the newest research about AI innovations in Research.
Automating lupus tracking with open-source language models could finally bring standardized disease monitoring to busy clinics.
Electronic health records are failing vulnerable patients because standard billing codes ignore the messy reality of clinical notes.
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 mismatch between the genetic makeup of blood donors and recipients is driving a silent crisis in sickle cell care.
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 massive debt-funded acquisition reveals how AI vendors must buy their way into legacy hospital workflows.
A new causal AI model shows that straying from its vasopressor dosing recommendations is tied to a fivefold increase in hospital mortality for septic shock patients.
A routine ten-second heart trace holds hidden clues to chronic diseases far beyond the cardiovascular system.
A new AI model drafts emergency head CT reports that radiologists cannot tell apart from human work.
