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 ...

A smart-technology wearable wristband device may be able to automatically detect cardiac arrest, which could lead to faster ...

A smart-technology wearable wristband device may be able to automatically detect cardiac arrest, which could lead to faster ...

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 ...

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 team of Johns Hopkins University biomedical engineers and Johns Hopkins Medicine heart specialists have developed an algorithm that warns doctors several hours before hospitalized COVID-19 patients ...

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 ...

Wearable technology could lead to quicker responses for out-of-hospital cardiac arrests among heart patients and increased ...

Sept. 4, 2003 (Vienna) — Patients who are successfully resuscitated after sudden cardiac arrest face about a 30% risk of recurrent events, but investigators for the Leiden Out of Hospital Cardiac ...

A small study of adults in the Netherlands found that a smart technology-based wristband may accurately detect cardiac arrest ...