AI-Stroke raised $4.6 million to expand its smartphone AI tool that screens for stroke symptoms from a 30-second video, detecting twice as many true cases in a 2,000-paramedic study.
UnitedHealth Group is investing $3 billion in AI through 2027, projecting nearly $1 billion in 2026 cost savings, even as critics question whether the efficiency gains affect claims decisions.
An Axios investigation found AI chatbots reliably block obvious self-harm queries but struggle to detect subtle, slow-building mental health warning signs across long conversations.
A RAND study found 19.2% of U.S. adolescents and young adults now use AI chatbots for mental health advice, a 40% jump from the prior year, raising fresh safety and regulatory concerns.
A new validation study found an AI-enhanced smartwatch algorithm detects moderate-to-severe sleep apnea with over 92% sensitivity and specificity, though it underestimates milder cases.
Stanford's new SleepFM AI model, trained on 600,000 hours of sleep data, can predict risk for over 130 diseases including dementia and heart failure from a single night's sleep study.
Bía Neuroscience's $499 AI-powered sleep mask uses neurofeedback and brain sensors to actively nudge wearers into deeper sleep in real time, claiming to double deep sleep duration.
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 Mount Sinai-led research team won the $1 million Alzheimer's Insights AI Prize for Biomni-AD, an AI 'co-scientist' meant to speed up dementia research by autonomously analyzing biomedical data.
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.