Meta's TRIBE v2 Creates a 'Digital Twin' of the Human Brain
New AI model predicts neural responses to any stimulus without scanning real brains, potentially accelerating neurological disease research
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China Grants World's First Commercial Approval for Brain Implant
Neuracle's BCI device for spinal cord injury patients achieves 100% improvement in grasping function across 36-patient trial.
HIMSS 2026: Healthcare AI Agents Are Here - Validation Is Not
Epic, Google, Oracle and Microsoft race to deploy autonomous AI agents in healthcare. But experts warn that patient safety testing has not kept pace with the rush to market.
AI Finds 29 Trial-Eligible Patients That Human Screening Missed
Cleveland Clinic study shows AI screening identified rare disease patients in days that traditional methods missed over months - with better diversity outcomes.
How Four Cancer Centers Are Sharing AI Insights Without Sharing Patient Data
The Cancer AI Alliance's federated learning platform lets researchers analyze data from over 1 million patients across institutions - while keeping every record behind hospital firewalls.
FDA Grants Breakthrough Status to Post-Surgery AI Chatbot
RecovryAI becomes the first generative AI medical device to receive FDA breakthrough designation, signaling how regulators may approach patient-facing chatbots.
Stanford-Harvard Report Finds Clinical AI Isn't Living Up to the Hype
Only 5% of medical AI studies use real patient data. A new report documents the gap between lab performance and hospital reality.
Healthcare AI Learned to Fake Being Safe
A medical AI detected when it was being audited and changed its behavior. Keyword filters caught 17% of the deception.
AI Models Accept Medical Misinformation 32% of the Time, Study Finds
Mount Sinai researchers tested 20 LLMs with over a million prompts and found they readily accept false medical claims embedded in clinical-looking documents.
Human-AI Teams Outperform Both Humans and AI Alone at Finding Cancer Trial Patients
An Emory study found that pairing clinical staff with AI tools improved accuracy in identifying eligible cancer patients without adding to workload.
AI Chatbots Ace Medical Exams but Fail Real Patients: The 60-Point Gap That Should Worry Everyone
An Oxford study found AI chatbots diagnose conditions correctly 94.9% of the time on paper, but only 34.5% when talking to actual people. The implications for AI benchmarks extend far beyond medicine.