Effectiveness of extended reality technologies in cardiopulmonary resuscitation training: a bayesian network meta-analysis
Dublin Core
Title
Effectiveness of extended reality technologies in cardiopulmonary resuscitation training: a bayesian network meta-analysis
Description
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 meta-analysis compared the effectiveness of XR-based CPR training to traditional face-to-face methods.
Creator
Xiangmin Li, Xinbo Yin, Guoqing Huang & Xiaokai Wang
Source
https://link.springer.com/article/10.1186/s12873-025-01256-2
Publisher
https://link.springer.com/journal/12873
Date
07 june 2025
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Xiangmin Li, Xinbo Yin, Guoqing Huang & Xiaokai Wang , “Effectiveness of extended reality technologies in cardiopulmonary resuscitation training: a bayesian network meta-analysis,” Repository Horizon University Indonesia, accessed July 28, 2025, https://repository.horizon.ac.id/items/show/9442.