An AI algorithm detects subtle ECG variations linked to sudden cardiac arrest risk in patients with normal heart structure.

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 ...

Results from the RAPID-MIRACLE trial have found, for the first time, that the widely used MIRACLE 2 risk score can be applied outside a hospital setting to accurately predict brain injury following a ...

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 ...

Researchers at the University of California, Berkeley, used artificial intelligence to identify a previously unrecognized pattern in routine electrocardiogram (ECG) readings linked to an increased ...

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 ...

ICLS (Immediate Cardiac Life Support) is a resuscitation training program for healthcare professionals that teaches appropriate team resuscitation during the 'first 10 minutes' of a sudden cardiac ...

DALLAS, January 2, 2025 — Cardiac arrest is when the heart stops abruptly with little or no warning. It is often fatal. According to American Heart Association data, 9 out of every 10 people who ...