A new study finds AI-driven chatbots provide problematic or misleading medical advice approximately half the time, raising serious healthcare safety concerns.

Microsoft has launched Copilot Health, a dedicated AI health companion integrating wearable data from 50+ devices and records from 50,000+ U.S. hospitals via HealthEx, positioning the company's AI toward medical superintelligence for everyday patients.

MIT researchers develop language model for codon optimization, boosting protein production including trastuzumab by 25-300%, published in PNAS.

Eko Health's AI-powered digital stethoscope demonstrated 92.3% sensitivity in detecting moderate-to-severe valvular heart disease, nearly doubling the 46.2% accuracy of traditional stethoscope examinations in clinical trials.

Researchers unveil dSHERLOCK AI tool that diagnoses deadly Candida auris infections in 20 minutes, revolutionizing hospital infection control.

MIT researchers develop groundbreaking AI-powered software that automatically segments eight distinct nerve fiber bundles in brainstem MRI scans.

Mount Sinai research shows AI LLMs believe medical misinformation 32-46% of the time, especially when framed as expert advice.

University of Oxford research finds AI chatbots give inconsistent medical advice, making it difficult for users to identify trustworthy health information.

Harvard researchers publish BrainIAC foundation model in Nature Neuroscience, predicting dementia, stroke, and cancer from 48,900 MRI scans.

A landmark Swedish study of 100,000 women, published in The Lancet, found that using AI to assist in mammogram analysis led to a 12% reduction in interval breast cancer diagnoses, marking a significant breakthrough in medical imaging.

Analysis shows AI increases demand for radiologists despite automation; Mayo Clinic employs 55% more radiologists since 2016, demonstrating Jevons Paradox in AI.