作为教学工具的ChatGPT:通过人工智能生成的消化系统病理学测试,为病理学住院生准备面试
Thiyaphat Laohawetwanit1,2, Sompon Apornvirat1,2, Charinee Kantasiripitak1,2
1Division of Pathology, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand.
American journal of clinical pathology
|May 25, 2024
概括
聊天GPT 4显示为创建病理学委员会考试问题和解释的承诺. 虽然人工智能生成的内容需要专家审查,但它可以作为医学教育中宝贵的补充工具.
科学领域:
- 医疗教育 医学教育
- 人工智能在病理学中的应用
- 消化系统病理 消化系统病理
背景情况:
- 病理学委员会考试需要高质量的多项选择题 (MCQ) 和详细的解释.
- 开发这样的评估是耗时的,需要专门的专业知识.
- 整合人工智能 (AI) 工具,如ChatGPT 4,为高效的内容生成提供了潜在的解决方案.
研究的目的:
- 评估ChatGPT 4在生成消化系统病理学委员会考试的MCQ和解释方面的有效性.
- 评估AI产生的病理学评估项目的质量,准确性和相关性.
- 分析病理学住院人员在人工智能生成的MCQ上的表现.
主要方法:
- 采用定制的ChatGPT 4模型来生成消化系统病理的MCQ和解释.
- 专家病理学家审查了生成的内容的准确性和相关性.
- 病理学住院医生接受了MCQ,随后进行了心理测量分析 (难度,歧视,内部一致性).
主要成果:
- 聊天GPT 4产生了80个关于胃肠道和肝胆道病理的MCQ,具有普遍可接受的解释.
- 专家审查表明,在内容准确性,临床相关性和整体质量方面,对内容准确性,临床相关性和整体质量有中等到高的共识,在认知水平和分心质量方面存在限制.
- 对居民表现的心理测量分析显示中度困难,有效的项目歧视 (指数=0.15) 和良好的内部一致性 (克朗巴赫的α=0.74).
结论:
- 聊天GPT 4 展示了作为一个补充教育工具的显著潜力,用于生成带有解释的板式MCQ.
- 人工智能生成的内容需要专家监督和改进,以满足医学教育评估的严格标准.
- 这项技术可以提高病理学教育资源的效率和可访问性.
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