Comment on: “Benchmarking the performance of large language models in uveitis: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, Google Gemini, and Anthropic Claude3”

IF 3.2 3区 医学 Q1 OPHTHALMOLOGY Eye Pub Date : 2025-02-26 DOI:10.1038/s41433-025-03736-y
Xiao Luo, Cheng Tang, Jin-Jin Chen, Jin Yuan, Jin-Jin Huang, Tao Yan
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评论:“对大型语言模型在葡萄膜炎中的性能进行基准测试:ChatGPT-3.5、ChatGPT-4.0、谷歌Gemini和Anthropic Claude3的比较分析”。
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来源期刊
Eye
Eye 医学-眼科学
CiteScore
6.40
自引率
5.10%
发文量
481
审稿时长
3-6 weeks
期刊介绍: Eye seeks to provide the international practising ophthalmologist with high quality articles, of academic rigour, on the latest global clinical and laboratory based research. Its core aim is to advance the science and practice of ophthalmology with the latest clinical- and scientific-based research. Whilst principally aimed at the practising clinician, the journal contains material of interest to a wider readership including optometrists, orthoptists, other health care professionals and research workers in all aspects of the field of visual science worldwide. Eye is the official journal of The Royal College of Ophthalmologists. Eye encourages the submission of original articles covering all aspects of ophthalmology including: external eye disease; oculo-plastic surgery; orbital and lacrimal disease; ocular surface and corneal disorders; paediatric ophthalmology and strabismus; glaucoma; medical and surgical retina; neuro-ophthalmology; cataract and refractive surgery; ocular oncology; ophthalmic pathology; ophthalmic genetics.
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