人工智能是医学教育评估的未来吗?? 人工智能与人类评估在客观结构化的临床检查中
Murat Tekin1, Mustafa Onur Yurdal1, Çetin Toraman1
1Medical Education, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
BMC medical education
|May 1, 2025
概括
人工智能 (AI) 显示出在客观结构化临床检查 (OSCE) 中评估医学生的临床技能方面的潜力. 虽然人工智能工具的得分始终更高,但它们的可靠性各不相同,特别是在涉及听觉线索的技能方面.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 临床技能评估 临床技能评估
背景情况:
- 客观结构化临床检查 (OSCE) 是评估医学学生临床和专业能力的标准.
- 人工智能 (AI) 为增强和补充医学教育中传统的人类评估提供了新的机会.
研究的目的:
- 在欧安组织会议期间调查人类和人工智能评估员在评估医学学生临床技能方面的一致性.
- 将人工智能驱动的评估与各种临床技能的人类判断进行比较.
主要方法:
- 一项涉及土耳其一所国立大学临床前医学学生 (1-3年级) 的横截面研究.
- 通过使用标准化检查清单,评估四项临床技能 (肌内注射,结结,基本生命支持,尿道导管).
- 人类评估员和两个人工智能系统 (ChatGPT-4o,Gemini Flash 1.5) 对视频录制的评估.
主要成果:
- 在大多数被评估的技能中,人工智能评估者始终比人类评估者获得更高的分数.
- 人工智能和人类评估者之间的尿导管分数相似,但具有显著的个体标准差异.
- 与听觉或基于沟通的技能相比,在可视观察的任务中,评级者之间的一致性更高.
结论:
- 人工智能显示出作为欧安组织补充工具的承诺,特别是在视觉评估临床技能方面.
- 人工智能评估的可靠性取决于特定技能的感知需求.
- 为了准确评估涉及口头沟通或听觉反的技能,需要进一步完善人工智能模型.
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