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A comparative analysis of DeepSeek R1, DeepSeek-R1-Lite, OpenAi o1 Pro, and Grok 3 performance on ophthalmology board-style questions

Abstract The ability of large language models (LLMs) to accurately answer medical board-style questions reflects their potential to benefit medical education and real-time clinical decision-making. With the recent advance to reasoning models, the latest LLMs excel at addressing complex problems in b...

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Principais autores: Ryan Shean, Tathya Shah, Aditya Pandiarajan, Alan Tang, Kyle Bolo, Van Nguyen, Benjamin Xu
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Portfolio 2025-07-01
סדרה:Scientific Reports
נושאים:
Artificial intelligence
Ophthalmology
Medical education
Large Language models
גישה מקוונת:https://doi.org/10.1038/s41598-025-08601-2
תגים: הוספת תג
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