Effectiveness of extended reality technologies in cardiopulmonary resuscitation training: a bayesian network meta-analysis

• Published in: BMC emergency medicine Vol. 25; no. 1; pp. 94 - 11
• Main Authors: Li, Xiangmin, Yin, Xinbo, Huang, Guoqing, Wang, Xiaokai
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 07.06.2025; BioMed Central; BMC
• Subjects: Analysis; Augmented Reality; Bayes Theorem; Bayesian analysis; Cardiopulmonary resuscitation; Cardiopulmonary Resuscitation - education; Cardiopulmonary resuscitation training; Chest; Clinical trials; Compression; Computer applications; CPR; CPR (First aid); Evidence; Extended reality; Humans; Lifesaving; Mathematical models; Meta-analysis; Mixed reality; Randomized Controlled Trials as Topic; Software; Statistical analysis; Training; Virtual Reality; Extended reality; Cardiopulmonary resuscitation training; Mixed reality; Augmented reality; Virtual reality

High-quality cardiopulmonary resuscitation (CPR) is critical to cardiac arrest patients. Extended Reality (XR) technologies, including Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), provide immersive and interactive training, potentially enhancing CPR outcomes. This network me...