评估ChatGPT 4.0作为核医学委员会准备的工具
Pierce Herrmann1, Kayvon Yazdanbakhsh1, Golnaz Lotfian1
1Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, USA.
Cureus
|October 21, 2025
概括
大型语言模型 (LLM) 在医学教育中表现有前途,ChatGPT 4.0在核医学认证问题上取得了86.95%的准确性. 性能因主题而异,表明需要进一步研究.
科学领域:
- 医学教育 医学教育
- 人工智能在医学中的应用
- 核医学就是核医学.
背景情况:
- 大型语言模型 (LLM) 在医学教育中越来越多地被使用.
- 生成型人工智能 (AI) 为学习和评估提供了新的工具.
研究的目的:
- 评估ChatGPT 4.0在回答核医学认证的多选择题中的准确性.
- 评估AI在专业医疗领域的表现.
主要方法:
- 使用了来自核医学委员会准备资源的115个基于文本的多选择题.
- 由于AI输入的局限性,取决于图像的问题被排除在外.
- 通过将ChatGPT 4.0的响应与官方答案密钥进行比较来计算准确度.
主要成果:
- 聊天GPT 4.0 实现了 86.95% 的整体准确度.
- 在核心脏病学和放射药学方面获得了完美的分数.
- 在儿科核医学 (75%) 观察到的精度最低.
- 在每章问题数量和模型性能之间没有发现相关性.
结论:
- 聊天GPT 4.0展示了作为放射学教育中的补充工具的潜力.
- 主题级表现的变化和AI推理的不透明性需要在广泛的教育采用之前进行进一步的研究.
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