AI detects kidney disease using heart ultrasound videos
A new deep learning model spots chronic kidney disease using routine heart ultrasounds, bypassing the need for immediate blood work.
AI Training Targets the Healthcare Staffing Crisis
A $55 million bet on rapid online training exposes the deep cracks in traditional medical education.
Established machine learning matches tabular foundation models in clinical predictions
A new benchmark shows that expensive tabular foundation models offer almost no performance advantage over classic machine learning for predicting patient outcomes.
What your retina says about your heart
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.
Machine learning for risk stratification of hypertensive disorders of pregnancy: Enhancing clinical efficiency in low-resource antenatal care in Tanzania
A new algorithm catches every high-risk pregnancy case in Tanzania, but its high false-alarm rate will test the limits of busy clinics.
When AI Bots Negotiate Your Medical Care
The shift from chatbots that answer questions to autonomous agents that execute medical tasks is happening faster than our safety guardrails can adapt.
Text-image pairing improves brain tumor MRI classification
Adding radiology text to visual AI models stops them from failing when hyperparameters change.
Using the ear to stop brain spasms
A non-invasive ear clip could replace risky brain surgeries for patients recovering from aneurysms.