
AI reconstructs baby heart signals without skin damage
A new AI model reconstructs missing neonatal heart signals using light-based sensors, bypassing the need for irritating skin adhesives in intensive care.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new AI model reconstructs missing neonatal heart signals using light-based sensors, bypassing the need for irritating skin adhesives in intensive care.

Federal health agencies are rapidly adopting artificial intelligence, but their rush to deploy these tools is outpacing their willingness to govern them.

Doubling scanning capacity is useless if there are no radiologists left to read the scans.

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 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.