A machine learning algorithm running on a smartwatch demonstrated the ability to detect sudden loss of pulse with high ...

To address out-of-hospital cardiac arrest, Osaka Metropolitan University researchers developed a new scoring method that uses only data available from prehospital resuscitations to accurately predict ...

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system's ability to analyze long-underused heart imaging, alongside a full ...

An artificial intelligence (AI) model has performed dramatically better than doctors using the latest clinical guidelines to predict the risk for sudden cardiac arrest in people with hypertrophic ...

A new AI model proved to be better than medical professionals at identifying patients at high risk of cardiac arrest, according to a federally funded study done at Johns Hopkins University published ...