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通过学生协会在本科预医学教育中提高人工智能素养:一种教育干预

Spencer Hopson¹, Carson Mildon¹, Kyle Hassard¹

¹Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA.

BMC medical education

|July 3, 2025

概括

医学协会AI in Medicine (AIM) 计划显著提高了医学前学生的AI知识和病理学技能. 这项课外计划有效地弥合了未来医生人工智能教育的差距.

科学领域:

医学教育医学教育
医疗保健中的人工智能
计算病理学计算病理学

背景情况:

正式的人工智能 (AI) 教育对于医学前学生来说是缺乏的.
在医疗保健中整合人工智能需要未来医疗专业人员的基础人工智能知识.
医学协会的AI in Medicine (AIM) 计划是为了解决这一教育差距而开发的.

研究的目的:

评估AIM课外计划的有效性.
评估AIM计划对医学预科生AI知识和病理学相关技能的影响.
确定AIM程序是否可以作为医学培训中人工智能教育的模型.

主要方法:

使用了一种准实验性的前测试后测试对照组设计.
该干预涉及一个为期四周的项目,包括人工智能实践培训,伦理学,数据预处理和模型评估.
人工智能知识和病理学技能通过预测和后测被评估.

主要成果:

在AI知识和病理学得分方面,AIM参与者表现出显著的改善.
观察到很大的效果大小 (科恩d:1.834.74),特别是在病理学方面.
统计测试证实了强大的改善 (p < 0.001),独立于先前的AI经验.

结论:

该AIM计划成功地提高了医学预科学生对AI在医学上的理解,特别是病理学.
课外人工智能课程可以有效地补充医学课程.
AIM为将人工智能教育纳入早期医疗保健培训提供了一个潜在的模型.

关键词:

人工智能在医学中的应用人工智能教育人工智能教育医学AI课程医学AI课程病理学AI培训病理学AI培训医学前教育医学前教育

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