Despite major advancements in cardiovascular medicine, sudden cardiac death (SCD)
continues to be an enormous medical and societal challenge, claiming millions of lives …

Background Early defibrillation is essential for increasing the chance of survival in out-of-
hospital-cardiac-arrest (OHCA). Automated external defibrillator (AED)-equipped drones …

Background Mathematical optimization can be used to place automated external
defibrillators (AEDs) in locations that maximize coverage of out-of-hospital cardiac arrests …

Introduction In out-of-hospital cardiac arrests (OHCAs), the use of an automatic external
defibrillator (AED) by a bystander remains low, as AEDs may be misplaced with respect to …

Constrained optimization can be used to make decisions aimed at maximizing some
quantity in the face of fixed limits, such as resource allocation problems in health where …

Background Mathematical optimization of automated external defibrillator (AED) placement
may improve AED accessibility and out‐of‐hospital cardiac arrest (OHCA) outcomes …

Abstract Background/Aims Limited bystander assistance and delayed emergency medical
service arrival reduce the chances of survival in cardiac arrest victims. Early basic life …

Artificial intelligence (AI) and operations research (OR) have long been intertwined because
of their synergistic relationship. Given the increasing popularity of AI and machine learning …

Abstract Background EVapp (Emergency Volunteer Application) is a Belgian smartphone
application that mobilizes volunteers to perform cardiopulmonary resuscitation (CPR) and …

Aims To determine if mathematical optimization of in-hospital defibrillator placements can
reduce in-hospital cardiac arrest-to-defibrillator distance compared to existing defibrillators …