AI model predicts survival odds after cardiac arrest with new accuracy

Researchers have developed a machine learning system called SCARS that forecasts which cardiac arrest patients will survive and recover neurologically. The tool could help hospitals make faster treatment decisions and allocate resources more effectively during these critical emergencies.

Originaltitel: Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model