1. Enhancing puncture skills training with generative AI and digital technologies: a parallel cohort study
- Author
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Zhe Ji, Yuliang Jiang, Haitao Sun, Bin Qiu, Yi Chen, Mao Li, Jinghong Fan, and Junjie Wang
- Subjects
Puncture ,Training ,Refresher doctor ,Template ,Digital technology ,ChatGPT ,Special aspects of education ,LC8-6691 ,Medicine - Abstract
Abstract Background Traditional puncture skills training for refresher doctors faces limitations in effectiveness and efficiency. This study explored the application of generative AI (ChatGPT), templates, and digital imaging to enhance puncture skills training. Methods 90 refresher doctors were enrolled sequentially into 3 groups: traditional training; template and digital imaging training; and ChatGPT, template and digital imaging training. Outcomes included theoretical knowledge, technical skills, and trainee satisfaction measured at baseline, post-training, and 3-month follow-up. Results The ChatGPT group increased theoretical knowledge scores by 17–21% over traditional training at post-training (81.6 ± 4.56 vs. 69.6 ± 4.58, p
- Published
- 2024
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