DeepSeek-R1 outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in bilingual complex ophthalmology reasoning
Purpose: To evaluate the accuracy and reasoning ability of DeepSeek-R1 and three recently released large language models (LLMs) in bilingual complex ophthalmology cases. Methods: A total of 130 multiple-choice questions (MCQs) related to diagnosis (n = 39) and management (n = 91) were collected...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2025-08-01
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| Colección: | Advances in Ophthalmology Practice and Research |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2667376225000290 |
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