Each year in the U.S., more than 300,000 people die from sudden cardiac arrest, a condition in which the heart's electrical ...

A smart-technology wearable wristband device may be able to automatically detect cardiac arrest, which could lead to faster medical assistance and increased survival odds when cardiac arrest occurs ...

A machine learning algorithm running on a smartwatch demonstrated the ability to detect sudden loss of pulse with high specificity (99.99%) and moderate sensitivity (67.23%), according to a study led ...

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 ...

Predicting out-of-hospital cardiac arrest (OHCA) events might improve outcomes of OHCA patients. We hypothesized that machine learning algorithms using meteorological information would predict OHCA ...

In New Zealand, ambulance crews treat about seven people a day who are in cardiac arrest, meaning their heart is no longer ...

Angela Ryan Lee, MD, FACC, is a board-certified cardiology and internal medicine physician. She also holds board certifications from the American Society of Nuclear Cardiology and the National Board ...