
AI outperforms emergency doctors in diagnostic tests
A new head-to-head trial reveals that while human doctors falter when listing multiple possible diagnoses, artificial intelligence maintains its accuracy.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new head-to-head trial reveals that while human doctors falter when listing multiple possible diagnoses, artificial intelligence maintains its accuracy.

Big Pharma is learning that keeping proprietary data locked in a vault is no longer the fastest way to win the drug discovery race.

A new clinical model outperforms specialists in diagnosing skin cancer, but its hidden failure modes reveal why deploying diagnostic AI remains a high-stakes gamble.

A new machine learning model tackles the biological noise threatening to derail non-invasive cancer testing.

A simple anatomical marker combined with machine learning could change how clinicians predict long-term recovery after a severe brain bleed.

Hospitals are losing millions because surgeons are terrible at paperwork, but the solution is not another dictation tool—it is the video feed itself.

Big Pharma is shifting its AI strategy from targeting specific diseases to funding the underlying operating system of human biology.

A new deep learning tool could stop pathologists from ordering endless, defensive tests to rule out a mimic of common skin rashes.

An AI startup is buying its way into pediatric care, but the real prize is the data needed to train autonomous medical algorithms.

By fusing electrical and structural data, a new multimodal model flags hidden heart valve risks before symptoms appear.