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与人工智能在回答本科医学教育多选题问题上的表现较低相关的因素
Renato Ferretti1, Joyce Santana Rizzi1, Lorraine Silva Requena1
1Department of Structural and Functional Biology, Laboratory of Muscle Biology, Institute of Bioscience of Botucatu, Sao Paulo State University (UNESP), São Paulo, Botucatu Brazil.
Medical science educator
|October 20, 2025
概括
与人类医学学生相比,ChatGPT-4.0在医学多选择题 (MCQ) 中表现不佳,可靠性和精度低. 它的准确性在试验和医学科目之间有很大的差异.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 自然语言处理自然语言处理.
背景情况:
- 人工智能 (AI) 越来越多地用于医疗查询.
- 评估AI在医学教育中的表现至关重要.
研究的目的:
- 为了评估ChatGPT-4.0的性能,可靠性和精度.
- 分析AI对医学多项选择题 (MCQ) 的反应.
主要方法:
- 观察性,横截面研究设计.
- 在8次医疗检查中分析ChatGPT-4.0的性能.
- 准确性评估,知识领域,布鲁姆的分类学,物品心理测量和图像效应.
主要成果:
- 聊天机器人的性能在尝试中从46.7%到90.0%不等.
- 低的一致率 (56.2%-62.0%) 和弱的科恩卡帕系数 (0.071-0.217).
- 在基础科学中得分最高,在手术和儿科中得分最低.
结论:
- 在医学检查中,ChatGPT-4.0的表现低于人类对应物.
- 人工智能在回答医学MCQ的可靠性和精度较低.
- 需要进一步的研究来改善AI在医学教育背景下.
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