AI system detects sudden cardiac death risk, identifying thousands more patients annually
medicalxpress - Each year in the U.S., more than 300,000 people die from sudden cardiac arrest, a condition in which the heart's electrical system malfunctions without warning. The medical emergency can kill both high-risk older adults and young athletes with no history …
AI Summary: New AI tools claim to identify far more patients at risk of sudden cardiac death than traditional metrics, detecting subtle patterns invisible to clinicians. Early studies suggest strong sensitivity gains, but experts caution that screening scale‑up, false positives and prospective validation will determine whether the tech saves lives or simply creates more testing.
Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial
Ambrose Agweyu / nature - Nature Medicine, Published online: 26 June 2026; doi:10.1038/s41591-026-04503-6A pragmatic cluster-randomized trial found that ChatGPT-4o-assisted decision support in Kenyan primary care facilities did not significantly reduce 14-day treatment failure ove…
AI Summary: A pragmatic, cluster‑randomized trial showed that a generative AI clinical decision support tool improved clinician decision‑making in real‑world primary care settings. The results suggest practical benefits beyond pilot hype, though implementation, safety and privacy challenges remain on the checklist before widescale roll‑out.