聊天GPT-4 德国继续医学教育的表现-朋友或敌人 (诡计或治疗)? 一个随机控制试验的协议
Christian Burisch1,2, Abhav Bellary3, Frank Breuckmann4,5
1State of North Rhine-Westphalia, Regional Government Düsseldorf, Leibniz-Gymnasium, Essen, Germany.
JMIR research protocols
|February 6, 2025
概括
使用人工智能 (AI),特别是像ChatGPT-4这样的大型语言模型 (LLM) 的医学非专业人士可能会成功完成继续医学教育 (CME) 测试. 本研究探讨了人工智能对医生培训的影响以及CME的未来.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 持续医疗教育 (CME) 是指持续的医疗教育.
背景情况:
- 人工智能和辅助智能正在扩展到应用医学和持续医学教育 (CME).
- 在德国,CME对医生来说是强制性的.
- 本研究探讨了AI的使用,特别是像ChatGPT-4这样的大型语言模型 (LLM) 在CME中.
研究的目的:
- 为了确定医疗非专业人员是否可以通过人工智能辅助的CME测试.
- 在研究生医学教育中探索AI应用.
- 分析LLM对CME信贷收购的影响.
主要方法:
- 设计了一个随机对照试验.
- 成年高中生试图在六个医学专业进行CME测试.
- 三个研究臂涉及不同程度的ChatGPT-4使用.
主要成果:
- 截至2024年10月,数据收集和学生招聘正在进行中.
- 预计初步调查结果将于2025年初公布.
- 该研究已在开放科学框架 (OSF) 上注册.
结论:
- 人工智能,特别是像ChatGPT-4这样的LLM,可能会显著影响医学非专业人员通过CME测试的能力.
- 这些发现表明,需要重新评估持续医学教育的概念.
- 将讨论人工智能在医学培训和评估中的潜在影响.
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