Background Artificial intelligence (AI) has demonstrated significant potential in supporting
emergency medical services personnel during out-of-hospital cardiac arrest (OHCA) care; …

Our scoping review provides a comprehensive analysis of the landscape of artificial
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …

Background Recently, crowding in emergency departments (EDs) has become a recognised
critical factor impacting global public healthcare, resulting from both the rising …

Objectives Studies of out-of-hospital cardiac arrest generally document the presenting
(pulseless electrical activity [PEA], ventricular fibrillation/tachycardia (VF/VT), asystole), and …

Sudden cardiac death/sudden cardiac arrest (SCD/SCA) is an increasingly prevalent cause
of mortality globally, particularly in individuals with preexisting cardiac conditions. The …

Background During pulseless electrical activity (PEA) the cardiac mechanical and electrical
functions are dissociated, a phenomenon occurring in 25–42% of in-hospital cardiac arrest …

BACKGROUND: Artificial intelligence (AI) has demonstrated significant potential in
supporting emergency medical services personnel during out-of-hospital cardiac arrest …

Background: Out of hospital cardiac arrest (OHCA) causes close to 400,000 deaths every
year in North America, and it is also a leading cause of death among young athletes. OHCA …

Pulseless electrical activity (PEA) is one of the most common rhythms during a cardiac arrest
(CA), and it consists in lack of palpable pulse in presence of electrical activity in the heart …

Recurrent cardiac arrest, or cardiac rearrest, remains a significant barrier to successful
resuscitation from cardiac arrest and is associated with worse outcomes. Metrics calculated …