
Testing AI algorithms at the ICU bedside
An ambitious clinical trial across Australasia is about to test whether machine learning can make split-second decisions to save critically ill patients.
Discover the newest research about AI innovations in 🤖 Machine Learning.

An ambitious clinical trial across Australasia is about to test whether machine learning can make split-second decisions to save critically ill patients.

The acquisition of Aster by Elation Health signals a major shift from AI that merely listens to AI that actively operates.

A new deep learning model spots chronic kidney disease using routine heart ultrasounds, bypassing the need for immediate blood work.

A $55 million bet on rapid online training exposes the deep cracks in traditional medical education.

A new benchmark shows that expensive tabular foundation models offer almost no performance advantage over classic machine learning for predicting patient outcomes.

An AI model that calculates biological age from a simple eye photo could shift systemic disease screening from specialized clinics to the optometrist’s chair.

A new algorithm catches every high-risk pregnancy case in Tanzania, but its high false-alarm rate will test the limits of busy clinics.

The shift from chatbots that answer questions to autonomous agents that execute medical tasks is happening faster than our safety guardrails can adapt.

A new foundation model bypasses cherry-picked images to evaluate gastric cancer risk using every photo taken during an endoscopy.

A new foundation model shows that overnight pulse oximetry data contains deep physiological signatures that can predict future hypertension and next-day blood sugar levels.