
AI Predicts Veteran Mortality Using Outpatient Billing Codes
A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.

Biotech companies are finding a second life for failed drug data, but recycling bad trials into predictive algorithms carries hidden risks.

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.