Beyond accuracy: Reproducibility must lead AI advances in radiology

被引：0
|
作者：
Nensa, Felix [1 ,2 ]
dos Santos, Daniel Pinto [3 ,4 ]
Dietzel, Mathias [5 ]
机构：
[1] Univ Hosp Essen, Inst Diagnost & Intervent Radiol & Neuroradiol, Essen, Germany
[2] Univ Hosp Essen, Inst Artificial Intelligence Med IKIM, Essen, Germany
[3] Univ Hosp Cologne, Inst Diagnost & Intervent Radiol, Fac Med, Cologne, Germany
[4] Univ Med Ctr, Inst Radiol, Erlangen, Germany
[5] Univ Hosp Frankfurt, Dept Radiol, Frankfurt, Germany
来源：
EUROPEAN JOURNAL OF RADIOLOGY | 2024年 / 180卷
关键词：
D O I：
10.1016/j.ejrad.2024.111703
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
收藏
页数：2
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