引入人工智能作为脚本一致性测试专家参考小组成员:一个比较分析
Moataz A Sallam1, Enjy Abouzeid2,3
1Ophthalmology Department, Suez Canal University, Ismailia, Egypt.
Medical teacher
|March 8, 2025
概括
人工智能 (AI) 模型可以协助创建用于临床推理训练的脚本一致性测试 (SCT). 虽然人工智能不会取代人类专家,但它提高了效率,并帮助弥合了医学学生的绩效差距.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 临床推理评估评估
背景情况:
- 脚本一致性测试 (SCT) 是评估专业发展中的临床推理的一个有价值的工具.
- 专家参考小组 (ERP) 的燃烧是创建SCT的一个重大挑战.
- 探索人工智能,特别是ChatGPT,作为ERP会员的替代方案,对效率至关重要.
研究的目的:
- 使用人工智能模型提高SCT创建效率.
- 通过人工智能参与,维护SCTs的教育质量.
- 与人类专家相比,评估不同人工智能模型作为参考面板的有效性.
主要方法:
- 一个准实验性的比较设计被使用,涉及本科医学学生和教师在眼科医生职位.
- 成立了两个小组:一个传统的ERP (15人专家) 和一个AI生成的ERP (使用ChatGPT和o1预览).
- 人工智能小组旨在反映基于不同经验水平的不同临床意见.
主要成果:
- 人类专家通常在SCT片段中获得最高的平均分数.
- 人工智能模型 (ChatGPT-4和o1) 的得分略低一些,o1的得分更接近专家的表现.
- 人类专家和人工智能模型都在他们的评级中表现出高度的一致性和可靠性.
结论:
- 人工智能模型在增强临床推理评估的创造方面表现有前途.
- 人工智能可以用来培训医学学生,提高他们的推理能力.
- 人工智能工具可以帮助减少学生和专家在临床推理中的表现水平之间的差异.
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