确定人工智能程序在医学院董事会考试中的可靠性
1Arif Keskin, Department of Anatomy, Faculty of Medicine, Giresun University, 28100, Giresun, Turkiye.
Pakistan journal of medical sciences
|December 26, 2025
概括
像Copilot,ChatGPT和Gemini这样的生成人工智能 (AI) 工具在解剖学考试中显示出比医学学生更高的准确性. 然而,由于临床推理的局限性,人工智能应该补充,而不是取代传统教育.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 人体解剖学 解剖学 解剖学
背景情况:
- 生成型人工智能应用越来越多地用于医学教育.
- 在评估医学学生的知识时,评估AI可靠性至关重要.
研究的目的:
- 评估生成AI程序 (微软Copilot,谷歌Gemini,OpenAI ChatGPT) 与一年级和二年级医学学生在解剖学考试中的表现的准确性.
- 确定AI工具在基础医学科学教育中的可靠性.
主要方法:
- 从2023-2024学年使用了286个解剖学问题.
- 根据学生的表现,根据难度分类问题.
- 人工智能工具回答了同样的问题提出给学生.
主要成果:
- 微软的Copilot (97.7%),OpenAI的ChatGPT (94.4%) 和谷歌的Gemini (86.5%) 的准确性高于学生.
- 双子座和ChatGPT在非常困难的问题上表现与学生相似.
- 双子座的表现各不相同,在基本知识问题上的临床解释方面表现出色.
结论:
- 虽然人工智能工具超过了学生的准确性,但它们不适合在解剖学教育中无监督使用.
- 人工智能缺乏临床推理和人类经验,因此需要将其用作受控的补充教育工具.
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