Texas A&M researchers unveiled an AI model trained on nearly 10,000 patients' data aimed at catching Alzheimer's disease earlier, joining a crowded 2026 field of competing early-detection AI tools.
WellSpan Health is expanding its AI voice agent Ana, which already fields over 160,000 patient calls monthly for screenings, results and scheduling, across its entire hospital network.
A Stanford Medicine pilot study found an AI tool that drafts hospital discharge summaries is safe and linked to lower physician burnout, part of a broader 2026 wave of ambient documentation AI in hospitals.
The FDA cleared DeepHealth's AI-powered breast ultrasound platform on July 30, 2026, which improves cancer detection sensitivity by 8% and cuts radiologist interpretation time by 37%.
Nvidia has built Open-H, a 778-hour open dataset of surgical robot video from 35 organizations, along with GR00T-H and Cosmos-H models meant to train and simulate surgical robots like CMR Surgical's Versius before they ever reach a real patient.
A UCLA Health machine learning model trained on 97,000 patients is catching undiagnosed Alzheimer's cases at far higher rates than conventional tools, particularly among Black and Hispanic patients who are historically underdiagnosed.
Hackensack Meridian Health has become the first U.S. health system to earn the Joint Commission's Responsible Use of AI in Healthcare certification, a new credential evaluating governance, bias reduction, and transparency around hospital AI tools.
Colorado, Maine, Rhode Island, Tennessee and Vermont passed 2026 laws restricting AI chatbots from acting as therapists, joining Illinois and Nevada in a fast-growing patchwork of state rules governing AI mental health tools.
The FDA has dropped its enforcement action against Whoop over its Blood Pressure Insights feature, closing a year-long dispute that began with a 2025 warning letter and turned on new agency guidance about wellness-category wearables.
Georgia, Illinois, Colorado and other states have passed new 2026 laws requiring human review of AI-driven health insurance decisions, responding to fears that automated claims and coverage systems were operating with too little human oversight.