Published on in Vol 12 (2024)
![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](https://asset.jmir.pub/assets/6a99d8dcfa86f03d0f0a9faea8fa9d35.png 480w,https://asset.jmir.pub/assets/6a99d8dcfa86f03d0f0a9faea8fa9d35.png 960w,https://asset.jmir.pub/assets/6a99d8dcfa86f03d0f0a9faea8fa9d35.png 1920w,https://asset.jmir.pub/assets/6a99d8dcfa86f03d0f0a9faea8fa9d35.png 2500w)
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