比较ChatGPT和医学学生的表现在一个真实的基于图像的放射学和医学应用物理学考试
R Salvador1, D Vas2, L Oleaga2
1Servicio de Radiodiagnóstico, Hospital Clínic de Barcelona, Barcelona, Spain; Servicio de Medicina Nuclear, Hospital Clínic de Barcelona, Barcelona, Spain.
医学学生在放射学考试中表现优于ChatGPT (GPT-4),特别是在图像解释和临床推理方面. 虽然人工智能看起来很有前途,但人类的专业知识仍然对复杂的医学诊断至关重要.
科学领域:
- 医学教育 医学教育
- 医学中的人工智能.
- 放射学和医学中的应用物理.
背景情况:
- 人工智能 (AI) 模型越来越能够回答医学问题,包括基于放射图像的医学问题.
- 这项研究评估了先进AI在医学图像解释方面的表现.
研究的目的:
- 为了比较ChatGPT-4o与医学三年级学生在实践放射学考试中的表现.
- 评估ChatGPT解释医疗图像和回答相关问题的能力.
主要方法:
- 三十三名医学学生和ChatGPT (GPT-4) 通过了相同的10个问题关于放射和核医学图像的考试.
- 考试答案是匿名的,由教授评分;结果使用曼-惠特尼U测试进行了比较.
主要成果:
- 在10个问题中,学生在8个问题上获得了比ChatGPT更高的分数.
- 平均学生得分为7.78,而ChatGPT得分为6.05,排在学生表现的第九百分位.
结论:
- 医学学生表现出卓越的表现,特别是在图像解释和临床推理方面,强调了培训和实践经验的重要性.
- 目前的人工智能模型需要进一步开发,以匹配放射图像分析和临床信息整合方面的人类能力.
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