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 ...

Researchers at King's College London have shown that a widely used cardiac arrest risk score can be applied before patients ...

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 ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

When patients receive care after cardiac arrest, doctors can now -- by entering patient data in a web-based app -- find out how thousands of similar patients have fared. Researchers have developed ...

The year 2010 marks the 50th anniversary of the introduction of cardiopulmonary resuscitation (CPR). During these past 50 years, tremendous research has been conducted to evaluate techniques, ...