Patient Impact

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.

Harvard Medical School experts reveal AI's transformative impact on healthcare, with language models reducing research time from hours to seconds while improving diagnostic accuracy by 16 percentage points compared to physicians alone in recent studies.

Artificial intelligence implementation in intensive care units demonstrates an 18% reduction in mortality rates and 3-day decrease in ICU stays.

New JAMA research reveals how patients rated AI-generated responses compared to clinician replies in electronic health records.

A striking JAMA commentary reveals healthcare trust scores averaging just 5.38 out of 12 and dropping as new technologies are introduced

Microsoft's AI Diagnostic Orchestrator solved 85.5% of complex NEJM case challenges while experienced physicians achieved only 20% accuracy

New research reveals AI-powered clinical decision support systems reduce diagnostic errors by up to 37%

New research reveals that AI-powered clinical decision support systems can reduce diagnostic errors by up to 37%.

Chatbots promise efficiency gains in medicine, but their clinical accuracy, legal risks, and integration barriers pose specific concerns for private practices.