AI-driven sepsis flags, wearable monitors generating false positives, and agentic systems replacing nurse calls—clinical AI is accelerating without sufficient validation.

A national survey of 3,000 U.S. adults reveals that AI performance — not FDA approval or physician oversight — is the single strongest driver of patient trust in medical AI. AI performing at specialist level increased visit selection by 32.5%, a finding with direct implications for how practices deploy and communicate AI tools.

ChatGPT Health launched in January 2026—but a new study reveals it failed to properly triage the most and least serious cases.

Poor diet drives CVD, type 2 diabetes, and stroke—costing $1.1 trillion annually in the US alone. A landmark JAMA Health Forum special communication argues that physicians now have the policy tools, EHR infrastructure, and clinical workflows to make "Food is Medicine" a standard of care—if they choose to act.

AI ambient scribes produce richer psychiatric documentation across all 6 neuropsychiatric domains—yet AI-scribed visits were 17% less likely to result in a depression diagnosis, new prescription, or behavioral health referral. Documentation and action are diverging.

A landmark JAMA Network Open study of 22,547 propensity-matched annual visits reveals that virtual visits reduce high-value test ordering by 14.3% and low-value test ordering by 19.3% compared with in-person visits. Telehealth's promise as a care-quality lever is more complicated—and more consequential—than previously understood.

With 4.5 billion people lacking essential healthcare access and an 11 million health worker shortage projected by 2030, artificial intelligence demonstrates measurable impact across diagnostic accuracy, workflow efficiency, and patient triage—yet healthcare remains below average in AI adoption compared to other industries.