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

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

In an effort to tackle in-home cardiac arrest, University of Washington researchers have devised a novel contactless system that uses smartphones or voice-based personal assistants to identify ...

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 ...