
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.
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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.

Adding radiology text to visual AI models stops them from failing when hyperparameters change.

A non-invasive ear clip could replace risky brain surgeries for patients recovering from aneurysms.

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

The FDA just cleared its first patient-facing generative AI tool, but the algorithm is not the one writing your prescription.