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 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 ...

In the hours before a cardiac arrest, a patient’s body gives off tiny clues of what’s to come. Those clues can be too subtle for doctors to detect. But numbers may do the job just fine. That’s why ...

A photoplethysmography-based wristband detects cardiac arrest with high sensitivity in sedated patients in the ICU after withdrawal of life-sustaining treatment, a study finds.

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 ...

Overall, the findings show that wrist-derived photoplethysmography can detect true cardiac arrest with high sensitivity and few false alarms. The researchers called for larger real-world studies to ...