将人工智能纳入医学教育:对当前应用,挑战和未来方向的叙述性系统审查
1Aga Khan University Hospital, Karachi, Pakistan. zeeshanallana@gmail.com.
BMC medical education
|August 24, 2025
概括
通过提供新的诊断和管理工具, 人工智能正在改变医学教育. 解决诸如道德问题和课程差距等挑战对于在医疗保健培训中有效整合人工智能至关重要.
科学领域:
- 医疗教育
- 人工智能在医疗保健中的应用
背景情况:
- 人工智能 (AI) 越来越多地影响医疗保健和医学教育结构.
- 整合包括本科,研究生和继续医学教育.
研究的目的:
- 综合当前关于人工智能在医学教育中的整合研究.
- 确定人工智能的应用,挑战和建议.
主要方法:
- 对14项研究的叙述性审查.
- 遵循了PRISMA 2020指南.
- 在PROSPERO注册的协议 (ID:1109025).
主要成果:
- 人工智能应用包括诊断辅助,课程重新设计,增强评估和行政简化.
- 确定了主要挑战:道德困境,缺乏验证的课程,经验研究有限,以及基础设施限制.
- 有证据表明,人工智能在医疗培训水平上有多种用途.
结论:
- 需要结构化的人工智能课程,教师发展和跨学科合作.
- 倡导道德合理的做法和以学习者为中心的阶段性采用方法.
- 建议旨在在医疗教育中可持续和公平地整合人工智能.
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