在外科模拟中自动化和人工智能 (AI) 衍生性能评估:系统性审查
Ahmad Khalifa1, Owais Tahhan2, Mohammed Albazooni3
1Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, GBR.
Cureus
|January 19, 2026
概括
人工智能 (AI) 在外科教育中表现有前途,用于绩效评估,但目前的方法缺乏一致的有效性和可靠性. 需要标准化,验证的人工智能工具来进行伦理和可重复的外科模拟培训.
科学领域:
- 医学教育 医学教育
- 进行外科手术培训.
- 人工智能的人工智能
背景情况:
- 人工智能辅助和自动化绩效评估在外科教育中越来越多.
- 人工智能在手术技能评估中的范围,有效性和可信度仍然不清楚.
研究的目的:
- 系统地审查人工智能辅助和手术教育中自动化绩效评估的文献.
- 评估人工智能算法在评估技术外科技能的有效性,有效性和可靠性.
主要方法:
- 在PubMed,Scopus,Embase和IEEE Xplore中对2010-2025年的研究进行了系统审查.
- 包括人工智能的实验和观察研究,用于模拟和临床实践中的技术技能评估.
- 提取了关于研究特征,算法,性能指标,有效性,可靠性和研究质量的数据.
主要成果:
- 29项研究符合纳入标准,主要使用监督学习算法.
- 绩效指标差异很大,有效性和可靠性的文档不一致.
- 观察到一种转向基于模拟的评估和多模式数据源的转变,但方法上的异质性仍然存在.
结论:
- 基于人工智能的评估对外科教育有潜力,特别是实时自适应反.
- 方法上的不一致,缺乏透明度,以及未经证实的有效性/可靠性限制了概括性.
- 标准化,验证的方法对于可重现的性能测量和在外科模拟中道德实施至关重要.
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