
Predicting Unplanned Hospital Readmissions in People with Multiple Long-Term Conditions
A new self-supervised AI model accurately flags which complex, multi-illness patients are most likely to end up back in the hospital.
Discover the newest research about AI innovations in Research.

A new self-supervised AI model accurately flags which complex, multi-illness patients are most likely to end up back in the hospital.

When commercial software cannot keep pace with clinical reality, health systems are forced to become software developers.

A new study reveals that while AI easily spots prostate cancer across different imaging hardware, the actual grading of those tumors falls apart depending on which scanner a hospital uses.

The rapid acquisition of a two-year-old voice tech startup signals a major shift in how pharmaceutical companies recruit patients.

A new AI tool proves that human error, not machine limitation, is the biggest obstacle to tracking missing clinical trial data.

A new startup is betting that conversational AI can bridge the dangerous information gap between doctor visits for chronic disease patients.

A new portable device combines microfluidics and machine learning to diagnose pediatric urinary tract infections in hours instead of days.

A prominent AI skeptic is now betting on autonomous agents to run complex drug discovery physics.

A new study reveals that consumer-grade AI stethoscopes cannot reliably replace human ears in veterinary clinics.

Regulators are forcing a public reckoning over whether marginal cancer screening benefits justify the risks of widespread adoption.