Benchmarking publicly accessible large language models for high-myopia multiple-choice question generation in digital ophthalmic education and public health training.

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Bibliographic Details
Title: Benchmarking publicly accessible large language models for high-myopia multiple-choice question generation in digital ophthalmic education and public health training.
Authors: Jiang L; Department of Ophthalmology, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China., Jiang X; Quzhou College of Technology, Quzhou, Zhejiang, China., Wu W; The Eye Hospital, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China.; Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine Vision and Brain Health), Wenzhou, Zhejiang, China.; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, China., Jiang F; Department of Ophthalmology, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Source: Frontiers in public health [Front Public Health] 2026 May 05; Vol. 14, pp. 1843045. Date of Electronic Publication: 2026 May 05 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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