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 ...

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 ...

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 ...

Prediction is very difficult, especially if it’s about the future, Danish physicist Neil Bohr once said. And no health forecast has confounded doctors like sudden cardiac death. Death may be the first ...

Using neighborhood and local data in combination with existing information sources creates a more accurate prediction on a patient's recovery prospects after an out-of-hospital cardiac arrest (OHCA), ...

WHITE PLAINS, N.Y., May 1, 2026 /PRNewswire/ -- Retia Medical today announced the first public presentation of results from its non-invasive cardiac output algorithm, which estimates cardiac output ...

Medtronic plc got a thumbs up from the FDA for two Accurhythm algorithms to detect atrial fibrillation and asystole in patients who have heart rhythm abnormalities. The new artificial intelligence (AI ...