Digital twins predict cardiac pacing success
A new digital twin model shows that one-third of heart failure patients fail cardiac therapy because surgeons are aiming at the wrong target.
July 5, 2026
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Discover the newest research about AI innovations in 🤖 Machine Learning.
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.
July 4, 2026
Primary Care Moves to Autonomous AI Coworkers
The acquisition of Aster by Elation Health signals a major shift from AI that merely listens to AI that actively operates.
July 4, 2026
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.
July 4, 2026
AI Training Targets the Healthcare Staffing Crisis
A $55 million bet on rapid online training exposes the deep cracks in traditional medical education.
July 4, 2026
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.
July 4, 2026
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.
July 3, 2026
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.
July 3, 2026
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.
July 3, 2026
AI analyzes entire endoscopy cases for gastric cancer
A new foundation model bypasses cherry-picked images to evaluate gastric cancer risk using every photo taken during an endoscopy.
July 3, 2026