Pathologic Function: Sudden Cardiac Arrest

Medical news and research articles

Two studies advance sudden cardiac arrest prediction

Warning symptoms, recurrent heart events may identify people at risk for this often-deadly event. Two studies from investigators at Cedars-Sinai Health Sciences University move the medical field closer to solving a longstanding ...

AI models comb patient data to predict cardiac arrest risk

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 ...

AED algorithm could improve location of lifesaving devices

Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden cardiac arrests to determine the best public locations for lifesaving devices called automated external ...

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