Artificial Intelligence in Cardiac Emergencies: A Review

Sudden cardiac arrest is a major public health problem as it accounts for nearly 1,000 deaths per day worldwide. An estimated 80% of these occur outside of hospitals, with less than 20% survival for out-of-hospital victims and around 30% for in-hospital victims. Delays in recognizing sudden cardiac arrest and initiating high-quality cardiopulmonary resuscitation result in significant neurological problems like post-anoxic coma and vegetative states. Human expertise integrated with artificial intelligence will contribute to a dramatic improvement in sudden cardiac arrest outcomes by aiding emergency physicians in making critical decisions in the management and prognostication of patient outcomes.