
AI scribes are not saving healthcare
Automating clinical notes was the easy part, but the real administrative crisis happens after the patient leaves the room.
Discover the newest research about AI innovations in 🤖 Machine Learning.

Automating clinical notes was the easy part, but the real administrative crisis happens after the patient leaves the room.

A new machine learning model helps ICU nurses predict dangerous blood pressure drops before starting renal replacement therapy.

A massive new partnership signals that the future of genetic medicine relies on algorithms, not just wet labs.

A new AI model screens for painful spinal fractures using simple home videos instead of immediate, expensive hospital scans.

A new regulatory fast-track for cancer software signals a major shift in how medical AI will evolve after entering the clinic.

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

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