AI models predict sudden cardiac arrest risk using health records

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%.

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