成人先天性心脏病诊断准确性的比较分析：三组医生和 ChatGPT 的研究

IF 0.8 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS

International journal of cardiology. Congenital heart disease Pub Date : 2024-10-05 DOI:10.1016/j.ijcchd.2024.100547

Edward Itelman, Einat Birk, Ayelet Machtei, Rafael Hirsch, Nili Schamroth Pravda

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引用次数: 0

摘要

这封研究信评估了三个医生群体（儿童心脏病专家、成人先天性心脏病（ACHD）专家和普通心脏病专家）的诊断准确性，并将其与人工智能（AI）LLM 模型的表现进行了比较。基于成人先天性心脏病的八个目标问题，分析结果表明正确答案率存在显著差异，先天性心脏病专家的准确率最高，而人工智能模型的准确率最低。

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Comparative analysis of diagnostic accuracy in adult congenital heart disease: A study of three physician groups and ChatGPT

This research letter evaluates the diagnostic accuracy of three physician groups—pediatric cardiologists, adult congenital heart disease (ACHD) specialists, and general cardiologists—and compares it to the performance of an AI (Artificial Intelligence) LLM model. Based on eight targeted questions in adult congenital heart disease, the analysis highlights significant disparities in correct answer rates, with congenital specialists achieving the highest accuracy and the AI model – the lowest.

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来源期刊

International journal of cardiology. Congenital heart disease Cardiology and Cardiovascular Medicine

自引率

0.00%

发文量

审稿时长

83 days