计算机化诊断决策支持系统 - - Isabel Pro与ChatGPT4的比较性能研究
1D. Bradley McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, USA.
Diagnosis (Berlin, Germany)
|May 6, 2024
概括
这项研究在诊断准确性方面比较了ChatGPT4和Isabel Pro,发现两者都生成了全面的列表. 聊天GPT4显示出希望,但需要在临床采用之前解决参考幻觉.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 临床决策支持系统 (CDSS) 正在与人工智能一起发展.
- 像ChatGPT4这样的大型语言模型 (LLM) 提供了潜在的诊断辅助.
研究的目的:
- 为了验证ChatGPT4对Isabel Pro.的诊断准确性.
- 为了比较ChatGPT4和Isabel Pro.的差异诊断生成能力.
主要方法:
- 一项涉及201个案例的比较研究.
- 对于ChatGPT4和Isabel Pro.使用了相同的系统输入.
- 平均互惠排名 (MRR) 和威尔科克森签名排名总和测试用于分析.
主要成果:
- 两种系统都产生了全面的差异诊断列表.
- 伊莎贝尔Pro的正确诊断比例 (87.1%) 比ChatGPT4 (82.1%) 高.
- 聊天GPT4在初始等级 (1,5,10) 上显示出更高的回忆,但伪造了引用和DOI.
结论:
- 临床诊断决策支持系统显示出前景,包括基于LLM的AI.
- 临床医生必须谨慎使用LLM系统,因为可能存在诸如幻觉参考和诊断等不准确的情况.
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