Department of Surgery, McGill University, Montreal, Quebec, Canada.
Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Canada; Institute of Health Sciences Education, McGill University, Montreal, Quebec, Canada.
Am J Surg. 2022 Jul;224(1 Pt A):205-216. doi: 10.1016/j.amjsurg.2021.11.023. Epub 2021 Nov 30.
Technology-enhanced teaching and learning, including Artificial Intelligence (AI) applications, has started to evolve in surgical education. Hence, the purpose of this scoping review is to explore the current and future roles of AI in surgical education.
Nine bibliographic databases were searched from January 2010 to January 2021. Full-text articles were included if they focused on AI in surgical education.
Out of 14,008 unique sources of evidence, 93 were included. Out of 93, 84 were conducted in the simulation setting, and 89 targeted technical skills. Fifty-six studies focused on skills assessment/classification, and 36 used multiple AI techniques. Also, increasing sample size, having balanced data, and using AI to provide feedback were major future directions mentioned by authors.
AI can help optimize the education of trainees and our results can help educators and researchers identify areas that need further investigation.
包括人工智能（AI）应用在内的技术增强型教学已经开始在外科教育中发展。因此，本范围综述的目的是探讨 AI 在外科教育中的当前和未来作用。
从 2010 年 1 月至 2021 年 1 月，检索了 9 个文献数据库。如果文章专注于外科教育中的 AI，则纳入全文。
在 14008 个独特的证据来源中，有 93 项被纳入。在 93 项研究中，84 项是在模拟环境中进行的，89 项针对技术技能。56 项研究专注于技能评估/分类，36 项研究使用了多种 AI 技术。此外，作者还提到了增加样本量、平衡数据和使用 AI 提供反馈等未来的主要方向。
AI 可以帮助优化学员的教育，我们的研究结果可以帮助教育者和研究人员确定需要进一步研究的领域。
