Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55799, first published .
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Qingxia Wu   1 * , MD ;   Qingxia Wu   2, 3 * , PhD ;   Huali Li   4 , MM ;   Yan Wang   1 , MM ;   Yan Bai   1 , MD ;   Yaping Wu   1 , PhD ;   Xuan Yu   1 , PhD ;   Xiaodong Li   1 , MM ;   Pei Dong   2, 3 , PhD ;   Jon Xue   5 , PhD ;   Dinggang Shen   5, 6 , PhD ;   Meiyun Wang   1, 7 , MD

1 Department of Medical Imaging, Henan Provincial People’s Hospital & People’s Hospital of Zhengzhou University, Zhengzhou, China

2 Research Intelligence Department, Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China

3 Research and Collaboration, United Imaging Intelligence (Beijing) Co, Ltd, Beijing, China

4 Department of Radiology, Luoyang Central Hospital, Luoyang, China

5 Research and Collaboration, Shanghai United Imaging Intelligence Co, Ltd, Shanghai, China

6 School of Biomedical Engineering, Shanghai Tech University, Shanghai, China

7 Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China

*these authors contributed equally

Corresponding Author:

  • Meiyun Wang, MD
  • Department of Medical Imaging
  • Henan Provincial People’s Hospital & People’s Hospital of Zhengzhou University
  • No 7, Weiwu Road, Jinshui District
  • Zhengzhou, 450001
  • China
  • Phone: 86 037165580267
  • Email: mywang@zzu.edu.cn