聊天GPT与专家反临床推理问题及其对学习的影响:一个随机对照试验
Feray Ekin Çiçek1, Müşerref Ülker1, Menekşe Özer1
1Faculty of Medicine, Gazi University, Ankara 06500, Turkiye.
Postgraduate medical journal
|December 10, 2024
概括
聊天GPT反显示类似的有效性专家反为医学学生的临床推理,但专家审查对于复杂的案例至关重要. 人工智能反也可以提高学生对人工智能的批判性评估.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 发展临床推理 发展临床推理
背景情况:
- 专家反对于培养医学学生临床推理能力至关重要.
- 在资源有限的环境中,有限的专家可用性需要探索替代反方法.
- 像ChatGPT这样的人工智能 (AI) 工具为可扩展的教育支持提供了潜在的潜力.
研究的目的:
- 为了比较ChatGPT生成的反与专家书面反在增强一年级医学学生的临床推理的有效性.
- 评估AI产生的反对学生对人工智能的批判性方法的影响.
主要方法:
- 一个随机对照试验,涉及129名一年级医学学生.
- 两组接受了关于尿路感染病例的反:专家撰写 (对照) 或ChatGPT生成 (实验).
- 临床推理立即和干预后10天使用关键特征问题 (KFQ) 进行评估.
主要成果:
- 两组之间KFQ总分没有显著差异,即刻或10天后.
- 专家反组在复杂的尿路感染病例中表现优越.
- 收到ChatGPT反的学生在披露后对AI进行了显著增强的批判性方法.
结论:
- 聊天GPT生成的反是专家反的可行的替代方案,用于改善一般临床推理.
- 对复杂的医疗病例进行人工智能反,需要专家监督.
- 利用人工智能反可以促进学生对人工智能工具的更批判的理解.
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