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成人先天性心脏病诊断准确性的比较分析:一项针对三组医生和ChatGPT的研究

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

作者信息

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

机构信息

Rabin Medical Center, Cardiology Department, Israel.

Tel Aviv School of Medicine, Tel Aviv University, Israel.

出版信息

Int J Cardiol Congenit Heart Dis. 2024 Oct 5;18:100547. doi: 10.1016/j.ijcchd.2024.100547. eCollection 2024 Dec.

Abstract

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.

摘要

这篇研究通讯评估了三组医生——儿科心脏病专家、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)大语言模型(LLM)的表现进行比较。基于成人先天性心脏病的八个针对性问题,分析突出了正确答案率的显著差异,其中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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0a/11657475/94cdeeaffc19/gr1.jpg

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