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.
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.
What the First FDA-Cleared LLM Actually Does
The FDA just cleared its first patient-facing generative AI tool, but the algorithm is not the one writing your prescription.
A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic risk
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.
AI Predicts ADHD Years Before Diagnosis
Predictive algorithms are moving from administrative tools to clinical safety nets, flagging developmental risks before symptoms disrupt a child's life.
AI struggles to extract cardiac arrest details
Automated medical registries promise to slash administrative burdens, but a new trial reveals that large language models are not yet reliable enough to replace human chart reviewers.