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人工智能增强的微手术培训:系统审查

Wameth Alaa Jamel1, Mohammed Jameel2, Ibrahim Riaz3

  • 1Department of Plastic and Reconstructive Surgery, Baghdad Al-Russafa Health Directorate, Baghdad, Iraq. wmd.alaa2015@gmail.com.

NPJ digital medicine
|February 20, 2026
PubMed
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人工智能 (AI) 通过提供客观反,提高技术技能和学习效率来增强微手术培训. 然而,目前的证据受限于低质量的研究,需要进一步研究.

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:

  • 微手术培训传统上依赖于主观反和漫长的学习曲线.
  • 人工智能 (AI) 提供了一个客观的机会,在微手术中增强适应性技能.
  • 现有的关于人工智能在微手术培训中的有效性的证据是零碎的.

研究的目的:

  • 与传统方法相比,系统地审查和评估人工智能增强的微手术培训的有效性.
  • 评估AI对技术性能,学习效率和技能保留的影响.
  • 确定AI在外科教育中的局限性和未来研究方向.

主要方法:

  • 按照PRISMA指南进行系统审查,从2010年1月开始搜索主要数据库.
  • 包括13项研究 (选了2,056份记录),参与者为3至50人.
  • 关于人工智能模型 (例如,CNNs) 的数据的叙述综合,结果,偏差风险和证据确定性 (GRADE).

主要成果:

  • 人工智能模型主要用于评估或指导,重点关注仪器跟踪和运动分析.
  • 人工智能通过实时反显示了技术技能 (减少错误) 和学习曲线的改进.
  • 人工智能准确度中位数为83.8%;注意到有前途的技能保留,但由于偏差风险高,证据确定性非常低.

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结论:

  • 人工智能提供客观指标和个性化的反,显示了提高微手术培训和模拟技术性能的潜力.
  • 异质和低质量的证据目前限制了概括性和临床翻译.
  • 未来的研究需要多中心的RCT,标准化的结果和道德考虑.