人工智能在医学教育中的范围审查:BEME指南第1号. 第八百四十四章 84
Morris Gordon1,2, Michelle Daniel3, Aderonke Ajiboye1
1School of Medicine and Dentistry, University of Central Lancashire, Preston, UK.
Medical teacher
|February 29, 2024
概括
人工智能 (AI) 正通过影响教学和学习来改变医学教育. 本综述绘制了人工智能应用的地图,确定了研究缺口,并为未来在医学教育中对人工智能的研究提出了一个框架.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 正在迅速改变医疗保健.
- 了解人工智能对医学教育的影响至关重要.
- 本综述映射了人工智能在教学,学习和教育实践中的应用.
研究的目的:
- 绘制医学教育中人工智能应用的文献.
- 确定核心发现和系统审查的潜在领域.
- 确定医疗教育中人工智能未来研究的差距.
主要方法:
- 在16周内进行的快速范围审查.
- 使用了阿克西和奥马利的框架,遵守了STORIES和BEME的指导方针.
- 在PubMed/MEDLINE,EMBASE和MedEdPublish的系统搜索,没有日期或语言限制.
主要成果:
- 综合了278个出版物,主要来自北美和欧洲.
- 涵盖了各种AI应用:招生,教学,评估和临床推理.
- 突出了人工智能的多样性和需要道德准则的需要.
结论:
- 目前关于AI在医学教育中的文献已被绘制成图表.
- 需要持续的研究来探索未知领域并解决风险.
- 提出了FACETS框架,以支持未来的高实用性报告.
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