Evaluating Large Language Models in Ptosis-Related inquiries: A Cross-Lingual Study

Luyuan Niu; Wei Li; Bing Qin; Tao Chen; Li Dong; Yueqing He; Xue Jiang; Mingyang Wang; Lan Ma; Jialu Geng; L Wang; Dongmei Li

doi:10.1167/tvst.14.7.9

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Evaluating Large Language Models in Ptosis-Related inquiries: A Cross-Lingual Study

Luyuan Niu Wei Li Bing Qin Tao Chen Li Dong Yueqing He Xue Jiang Mingyang Wang Lan Ma Jialu Geng L Wang Dongmei Li

Year: 2025 Journal: Translational Vision Science & Technology Vol: 14 (7)Pages: 9-9 Publisher: Association for Research in Vision and Ophthalmology

DOI: 10.1167/tvst.14.7.9

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Abstract

This study bridges artificial intelligence (AI) advancements with clinical practice by demonstrating how optimized LLMs can enhance patient education and cross-linguistic clinician support tools in ptosis-related inquiries.

Keywords:

Ptosis Optometry Ophthalmology Computer science Medicine

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Medical and Biological Sciences

Health Sciences → Medicine → Anatomy

Digital Imaging in Medicine

Health Sciences → Medicine → Public Health, Environmental and Occupational Health

Evaluating Large Language Models in Ptosis-Related inquiries: A Cross-Lingual Study

Abstract

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