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

A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient's diseased hearts and patient backgrounds, ...

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 ...

Dr. Jeffrey Goldberger, a cardiac electrophysiologist at UHealth, the University of Miami Health System, reviews a patient's health record. Goldberger and Dr. Leonardo Tamariz, also a cardiac ...

April 7 (UPI) --A new artificial intelligence-based approach using scans of patients' hearts and their medical history can predict whether they will die from cardiac arrest, a study published Thursday ...

BEND, Ore. (KTVZ) -- Bend Fire & Rescue crews were busy learning a new technique Friday that can save more lives during their Advanced Cardiac Life Support training ...

Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms ...

When a patient's condition changes, nurses are usually the first to notice it. Every second counts when there is a high risk of cardiac arrest, stroke, or respiratory failure. Advanced Cardiovascular ...