Cardiovascular Diseases: News and Research on Heart Arrest

MeSH tree: C14.280.383

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 ...

AI model could warn of cardiac arrest 10 to 15 minutes early

Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for nearly two decades at Penn. He says that every second, hospitals generate "enormous streams of ECG ...

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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