开发和实施人工智能课程的十二个技巧,用于本科医学教育
Do-Hwan Kim1, Ye Ji Kang2, Young-Mee Lee3
1Department of Medical Education, Korea University College of Medicine, Seoul, Korea.
Medical education online
|December 2, 2025
概括
人工智能 (AI) 教育对医学学生至关重要. 本指南为医学院开发有效的人工智能课程提供了十二个实用技巧,以准备未来的医生在医疗保健中整合人工智能.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 数字健康素养 数字健康素养
背景情况:
- 人工智能 (AI) 越来越多地融入临床实践,需要为医疗专业人员提供AI教育.
- 目前的本科医学课程需要适应,以纳入AI的独特方面和应用.
- 要有效开发和实施人工智能课程,需要采用结构化的方法.
研究的目的:
- 为在本科医学教育中开发和实施人工智能课程提供可行的指导.
- 概述将人工智能教育与现有的医疗框架和数字健康倡议相协调的关键考虑因素.
- 确保医学毕业生为人工智能增强的医疗实践做好准备.
主要方法:
- 为人工智能课程设计和实施制定十二个可行的技巧.
- 强调定义人工智能教育的目的,范围和整合.
- 专注于渐进式学习,资源分配,真实经验和持续评估.
主要成果:
- 一个框架,包含12个实用建议,用于创建强大的AI课程.
- 将人工智能教育与能力框架和数字健康相协调的策略.
- 通过资源,体验式学习和评估确保可持续性的方法.
结论:
- 有效的AI课程对于准备医学学生在医疗保健中使用AI至关重要.
- 对课程开发,资源管理和评估有系统的方法至关重要.
- 医学院必须适应整合人工智能教育,以培养准备好未来的医生.
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