The potential of artificial intelligence reading label system on the training of ophthalmologists in retinal diseases, a multicenter bimodal multi-disease study
The implementation of an artificial intelligence reading label system enhances the diagnostic accuracy of retinal diseases among ophthalmologists and holds potential for integration into future medical education.
Authors
- Tianhui Shan
- Guo-Long Ding
- Qijie Wei
- Chan Wu (ORCID: https://orcid.org/0000-0001-7102-1181)
- Binghui Wu
- Xiao Zhang (ORCID: https://orcid.org/0000-0002-0444-6937)
- Meng Wang (ORCID: https://orcid.org/0000-0002-4970-8590)
- Xiang Gao (ORCID: https://orcid.org/0000-0003-2617-6509)
- Chan Li (ORCID: https://orcid.org/0000-0002-6736-3557)
- Jianchun Zhao
- Xirong Li (ORCID: https://orcid.org/0000-0003-0787-8230)
- Hao Feng (ORCID: https://orcid.org/0000-0002-2795-0466)
- Weihong Yu
- Donghui Li
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Wuhan No.1 Hospital (CN)
- First Hospital of China Medical University (CN)
- Shandong Eye Hospital (CN)
- Shandong First Medical University (CN)
- First Hospital of Xi'an (CN)
- Renmin University of China (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1186/s12909-025-07066-1
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- Peking Union Medical College Hospital
- Peking Union Medical College
- Shandong First Medical University