Suitability of GPT-4o as an evaluator of cardiopulmonary resuscitation skills examinations
GPT-4o demonstrated a level of accuracy that was similar to that of senior experts in examining CPR skills examination videos. The results demonstrate the potential for deploying this large language model in medical examination settings.
Authors
- Yuqiang Mao (ORCID: https://orcid.org/0000-0002-1122-403X)
- Jiangdian Song (ORCID: https://orcid.org/0000-0002-3355-9930)
- Lu Wang (ORCID: https://orcid.org/0000-0002-7230-3671)
- Yujie Sun (ORCID: https://orcid.org/0000-0002-2389-0718)
- Lin Wang
- Yang Zhang (ORCID: https://orcid.org/0000-0002-3588-4702)
Institutions
- China Medical University (CN)
Publication Details
- Journal
- Resuscitation
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1016/j.resuscitation.2024.110404
- Citations
- 18
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 12.44
Funders
- National Natural Science Foundation of China
- Department of Science and Technology of Liaoning Province
- Scientific Research Fund of Liaoning Provincial Education Department