AI models predict sudden cardiac arrest risk using health records

Stiinta si Tehnologie

University of Washington School of Medicine May 13 2026 Researchers have developed artificial intelligence (AI) models that can scrutinize electronic health records (EHR) and electrocardiograms to identify individuals in the general population at elevated risk for sudden cardiac arrest - a condition that causes more than 400,000 U.S. deaths annually and has a survival rate of only 10%.  The finding represents a significant advance in predicting a largely unpredictable medical emergency that

astăzi