Artificial Intelligence in cardiopulmonary resuscitation training – A scoping review
Artificial Intelligence shows potential for transforming CPR training via enhancing real-time feedback, enabling personalized learning, improving dialog analysis, facilitating content creation, and serving as an information source. The current evidence is dominated by proof-of-concept studies. Future research needs to establish the efficacy of Artificial Intelligence-supported CPR training compared to traditional methods.
Institutions
- University of Bern (CH)
- Mount Sinai Hospital (CA)
- University of Toronto (CA)
- University Medical Center Utrecht (NL)
- Sinai Health System (CA)
- Hopital Universitaire Habib Bourguiba (TN)
Publication Details
- Journal
- Resuscitation Plus
- Published
- 2025-11-22
- DOI
- https://doi.org/10.1016/j.resplu.2025.101175
- Citations
- 1
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 2.25