Leveraging ChatGPT for Report Error Audit: An Accuracy-Driven and Cost-Efficient Solution for Ophthalmic Imaging Reports
GPT-4o effectively enhances the accuracy of ophthalmic imaging reports by identifying and correcting common errors. Its implementation can potentially alleviate the workload of ophthalmologists, streamline the reporting process, and reduce associated costs, thereby improving overall clinical workflow and patient outcomes.
Authors
- Yufeng Xu (ORCID: https://orcid.org/0000-0002-3672-1227)
- Kai Jin (ORCID: https://orcid.org/0000-0003-4369-2417)
- Danli Shi (ORCID: https://orcid.org/0000-0001-6094-137X)
- Daohuan Kang
- Yih Chung Tham (ORCID: https://orcid.org/0000-0002-6752-797X)
- A. Grzybowski (ORCID: https://orcid.org/0000-0002-5258-6926)
Institutions
- Hong Kong Polytechnic University (HK)
- National University of Singapore (SG)
- Singapore National Eye Center (SG)
- Zhejiang Technical Institute of Economics (CN)
- Children's Hospital of Zhejiang University (CN)
- Singapore Eye Research Institute (SG)
- Second Affiliated Hospital of Zhejiang University (CN)
- University of Warmia and Mazury in Olsztyn (PL)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2025-09-30
- DOI
- https://doi.org/10.1007/s40123-025-01248-2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China