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 ...
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 ...
The incidence of sudden cardiac arrest in athletes varies according to age, race and ethnic group, sex, sport, and social determinants of health. The common causes of sudden cardiac arrest include ...
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