ZHONG Jingyu 1 , XING Yue 1 , LU Junjie 2 , YANG Jiarui 3 , CHU Jingshen 4 , SONG Yang 5 , HU Yangfan 1 , DING Defang 1 , LIU Xianwei 1 , ZHANG Huan 6 , YAO Weiwu 1
  • 1. Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, P. R. China;
  • 2. Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford 94305, USA;
  • 3. Department of Biomedical Engineering, Boston University, Boston 02215, USA;
  • 4. Editorial office of Journal of Diagnostics Concepts & Practice, Department of Science and Technology Development, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, P. R. China;
  • 5. MR Research Collaboration, Siemens Healthineers Ltd., Shanghai 200126, P. R. China;
  • 6. Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, P. R. China;
YAO Weiwu, Email: yaoweiwuhuan@163.com
Artificial intelligence; Medical imaging; Report quality; Checklist for artificial intelligence in medical imaging (CLAIM)
10.7507/1672-2531.202406123
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The rapid development of medical imaging methods based on artificial intelligence (AI) has led to the first release of the AI medical imaging research checklist (CLAIM) in 2020 to promote the completeness and consistency of AI medical imaging research reports. However, during the application process, it was found that some entries in CLAIM needed improvement. Therefore, the expert committee updated CLAIM and released the updated version of CLAIM 2024. This article introduces CLAIM 2024 for domestic scholars to follow up and refer to in a timely manner.

Citation： ZHONG Jingyu, XING Yue, LU Junjie, YANG Jiarui, CHU Jingshen, SONG Yang, HU Yangfan, DING Defang, LIU Xianwei, ZHANG Huan, YAO Weiwu. Checklist for artificial intelligence in medical imaging (CLAIM) 2024 update: a comparison and interpretation. Chinese Journal of Evidence-Based Medicine, 2025, 25(5): 568-576. doi: 10.7507/1672-2531.202406123 Copy

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