Assessing the proficiency of large language models on funduscopic disease knowledge
The study provides evidence of the exceptional performance of ChatGPT-4 in the domain of funduscopic disease. With continued enhancements, validated LLMs have the potential to yield unforeseen advantages in enhancing healthcare for both patients and physicians.
Authors
- Qi Hong (ORCID: https://orcid.org/0000-0001-6799-0465)
- Cheng Chen (ORCID: https://orcid.org/0000-0001-8024-5128)
- Jie Zou
- Xu Chen (ORCID: https://orcid.org/0009-0005-9933-2754)
- Jin‐Yu Hu (ORCID: https://orcid.org/0000-0003-2562-7304)
- Xiaoyu Wang (ORCID: https://orcid.org/0000-0001-9397-4485)
- Xian-Zhe Qian
- Hong Wei
- Yi Shao
- Jun-Yi Wu
Institutions
- Nanchang University (CN)
- Maastricht University Medical Centre (NL)
- Maastricht University (NL)
- Shanghai Eye Disease Prevention & Treatment Center (CN)
- Wuhan Puai Hospital (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- First Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- International Journal of Ophthalmology
- Published
- 2025-06-20
- DOI
- https://doi.org/10.18240/ijo.2025.07.03
- Primary Topic
- linguistics and terminology studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Education Department of Jiangxi Province