Author(s): Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R;

This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR), marking a paradigm shift from conventional, manually driven resuscitation practices to intelligent, data-driven interventions. It examines the evolution of CPR through the lens of predictive modeling, AI-enha ...

Article GUID: 40336660

Author(s): El-Khoury A; Leroux L; Dupuis Desroches J; Di Labbio G; Kadem L;

Despite recent clinical and technological advancements, the cardiac arrest survival rate remains as low as 10%. To enhance patient outcomes, it is crucial to deepen the understanding of cardiopulmonary resuscitation (CPR) at a fundamental level. Currently, there is a lack of knowledge on the physiological effects of CPR, in particular on the hemodynamics ...

Article GUID: 39305857