DeepSeek-R1 outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in bilingual complex ophthalmology reasoning
DeepSeek-R1 demonstrated superior performance in bilingual complex ophthalmology reasoning tasks than three state-of-the-art LLMs. These findings highlight the potential of advanced LLMs to assist in clinical decision-making and suggest a framework for evaluating reasoning capabilities.
Authors
- Mingguang He (ORCID: https://orcid.org/0000-0002-6912-2810)
- Kai Jin (ORCID: https://orcid.org/0000-0003-4369-2417)
- Danli Shi (ORCID: https://orcid.org/0000-0001-6094-137X)
- Xiaolan Chen
- Yue Wu (ORCID: https://orcid.org/0009-0004-8283-3854)
- Pusheng Xu
Institutions
- Hong Kong Polytechnic University (HK)
- Second Affiliated Hospital of Zhejiang University (CN)
Publication Details
- Journal
- Advances in Ophthalmology Practice and Research
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1016/j.aopr.2025.05.001
- Citations
- 28
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 38.08