Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM)

被引：4

作者：

Park, Seong Ho ^{[1
,2
]}

Suh, Chong Hyun ^{[1
,2
]}

Lee, Jeong Hyun ^{[3
,4
]}

Kahn Jr, Charles E. ^{[5
,6
]}

Moy, Linda ^{[7
]}

机构：

[1] Univ Ulsan, Asan Med Ctr, Dept Radiol, Coll Med, 88 Olymp Ro,43 Gil, Seoul 05505, South Korea

[2] Univ Ulsan, Res Inst Radiol, Asan Med Ctr, Coll Med, 88 Olymp Ro,43 Gil, Seoul 05505, South Korea

[3] Sungkyunkwan Univ, Dept Radiol, Samsung Med Ctr, Sch Med, Seoul, South Korea

[4] Sungkyunkwan Univ, Ctr Imaging Sci, Samsung Med Ctr, Sch Med, Seoul, South Korea

[5] Univ Penn, Dept Radiol, Philadelphia, PA USA

[6] Univ Penn, Inst Biomed Informat, Philadelphia, PA USA

[7] NYU, Grossman Sch Med, Dept Radiol, New York, NY USA

来源：

KOREAN JOURNAL OF RADIOLOGY | 2024年 / 25卷 / 10期

关键词：

Large language model; Large multimodal model; Chatbot; Generative; Artificial intelligence; Reporting; Guideline; Checklist; Healthcare; Medicine; Radiology;

D O I：

10.3348/kjr.2024.0843

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：

引用

页码：865 / 868

页数：4