Large language models (LLMs) in the evaluation of emergency radiology reports: performance of ChatGPT-4, Perplexity, and Bard

被引：14
作者：
Infante, A. [1 ,3 ]
Gaudino, S. [1 ,2 ]
Orsini, F. [2 ]
Del Ciello, A. [1 ]
Gulli, C. [1 ]
Merlino, B. [1 ,2 ]
Natale, L. [1 ,2 ]
Iezzi, R. [1 ,2 ]
Sala, E. [1 ,2 ]
机构：
[1] Fdn Policlin Univ Agostino Gemelli IRCCS, ARC Adv Radiol Ctr ARC, Dept Oncol Radiotherapy & Hematol, Rome, Italy
[2] Univ Cattolica Sacro Cuore, Fac Med & Chirurg, Rome, Italy
[3] Fdn Policlin Univ Agostino Gemelli IRCCS, ARC Adv Radiol Ctr ARC, Dept Oncol Radiotherapy & Hematol, Largo Agostino Gemelli 8, Rome, Italy
来源：
CLINICAL RADIOLOGY | 2024年 / 79卷 / 02期
关键词：
D O I：
10.1016/j.crad.2023.11.011
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
[No abstract available]
引用
收藏
页码：102 / 106
页数：5
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