Benchmark analysis of myopia-related issues using large language models: a comparison of ChatGPT-4o and deepseek
Both ChatGPT-4o and DeepSeek can deliver useful responses to myopia-related questions, though limitations remain in areas requiring up-to-date, region-specific treatment information. DeepSeek's stronger performance suggests that localized LLMs may offer competitive advantages. Ongoing refinement, regular data updates, and domain-specific fine-tuning are essential for improving the reliability of AI chatbots in clinical communication.
Authors
- Luxi Li (ORCID: https://orcid.org/0009-0003-9168-5761)
- Wen Liu (ORCID: https://orcid.org/0000-0003-0532-9051)
- Jinglei Yao
- Xiaofang Ren
- Sun Chen Hsin
Institutions
- Capital Medical University (CN)
- Jingdong (China) (CN)
- Beijing Children’s Hospital (CN)
- National University Hospital (SG)
- National University Health System (SG)
- Children's Hospital of Capital Institute of Pediatrics (CN)
Publication Details
- Journal
- BMC Ophthalmology
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s12886-025-04328-w
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65