
AI predicts liver cancer treatments using medical notes
A new AI model proves that the messy, unformatted text in patient charts is actually the most valuable tool for choosing liver cancer therapies.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new AI model proves that the messy, unformatted text in patient charts is actually the most valuable tool for choosing liver cancer therapies.

A new AI model separates what doctors cannot change from what they can, offering a blueprint for safer postoperative prescribing.

Hospitals are spending millions to keep exhausted clinicians from walking out the door, but the best retention tool might just be an algorithm that listens.

A new open-source AI matches human precision in tracing heart structures but falls short on the critical calculations doctors use to make treatment decisions.

By chaining generative AI to a rigid clinical knowledge graph, researchers have built a digital counselor that actually follows the rules.

By consolidating complex cardiac measurements into a single view, a new deep-learning model challenges the clinical habit of ignoring the right side of the heart.

A new machine learning tool challenges the rigid, decades-old rule used to decide who qualifies for a cochlear implant.

A new microfluidic AI platform cuts bacterial resistance testing down to two hours, challenging the slow timelines of traditional lab cultures.

A new machine-learning model spots lung cancer from a simple urine sample, challenging the current reliance on costly scans and invasive blood draws.

Unsupervised machine learning reveals that tumor shape, not just invasion depth, dictates whether early colorectal cancer will return after endoscopic removal.