Texas A&M and USC researchers are separately developing AI models that map Alzheimer's disease progression with far more precision than current diagnostics, potentially widening the window for early treatment.
A new AI algorithm called EvORanker compares genetic evolutionary patterns across 1,000 species to identify hidden gene-disease links, helping crack a previously unsolved rare disease case.
A Boston Children's Hospital and OpenAI study used an AI reasoning model to re-analyze 376 unsolved pediatric rare disease cases, helping physicians confirm 18 new diagnoses.
UCSF researchers built a multitask deep learning model that predicts Alzheimer's diagnosis and future cognitive decline from a single baseline MRI scan and demographic data.
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.
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.
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.
Foundation Health's AI system PAIGE is now automating refill processing, adherence outreach, and prior authorization at Intermountain Health's specialty pharmacy, part of a 2026 wave of AI tools aimed at pharmacy administrative work.
A Johns Hopkins Wilmer Eye Institute study published in npj Digital Medicine found that African American patients with diabetes were far more likely to be referred for an eye exam when an AI-assisted retinal screening tool was used during a primary care visit.