9 citations · 28 across the 19 of their papers we have counts for
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cs.CL2025
DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning
Pusheng Xu, Yue Wu, Kai Jin +3
Purpose: To evaluate the accuracy and reasoning ability of DeepSeek-R1 and three other recently released large language models (LLMs) in bilingual complex ophthalmology cases. Meth…
cs.CL2024★ 4 cited
Evaluating large language models in medical applications: a survey
Xiaolan Chen, Jiayang Xiang, Shanfu Lu +3
Large language models (LLMs) have emerged as powerful tools with transformative potential across numerous domains, including healthcare and medicine. In the medical domain, LLMs ho…
cs.CL2024★ 4 cited
EyeGPT: Ophthalmic Assistant with Large Language Models
Xiaolan Chen, Ziwei Zhao, Weiyi Zhang +7
Artificial intelligence (AI) has gained significant attention in healthcare consultation due to its potential to improve clinical workflow and enhance medical communication. Howeve…