Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

被引：3
|
作者：
Tejani, Ali S. [1 ]
Klontzas, Michail E. [2 ,3 ]
Gatti, Anthony A. [4 ]
Mongan, John T. [5 ]
Moy, Linda [6 ]
Park, Seong Ho [7 ,8 ]
Kahn Jr, Charles E. [9 ,10 ]
机构：
[1] Univ Texas Southwestern Med Ctr, Dept Radiol, Dallas, TX USA
[2] Univ Crete, Dept Radiol, Sch Med, Iraklion, Crete, Greece
[3] Univ Hosp Heraklion, Dept Med Imaging, Iraklion, Crete, Greece
[4] Stanford Univ, Dept Radiol, Stanford, CA USA
[5] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA USA
[6] NYU, Grossman Sch Med, Dept Radiol, New York, NY USA
[7] Univ Ulsan, Asan Med Ctr, Dept Radiol, Coll Med, Seoul, South Korea
[8] Univ Ulsan, Res Inst Radiol, Coll Med, Asan Med Ctr, Seoul, South Korea
[9] Univ Penn, Dept Radiol, 3400 Spruce St, Philadelphia, PA 19104 USA
[10] Univ Penn, Inst Biomed Informat, 3400 Spruce St, Philadelphia, PA 19104 USA
来源：
RADIOLOGY-ARTIFICIAL INTELLIGENCE | 2024年 / 6卷 / 04期
关键词：
ADHERENCE;
D O I：
10.1148/ryai.240300
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页数：7
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