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This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (1472) eHealth Literacy / Digital Literacy (937) Information Retrieval (504) Formative Studies and eHealth/mHealth Development (710) Natural Language Processing (1357) Ontologies, Classifications, and Coding (479) Testing and Assessment in Medical Education (245) Generative Language Models Including ChatGPT (1679)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/97408, first published .
Patient discusses eye exam results with optometrist on tablet in clinic

Prompting Strategies for Readability Alignment Between User-Generated Ophthalmology Questions and Large Language Model Answers: Comparative Evaluation Study

Prompting Strategies for Readability Alignment Between User-Generated Ophthalmology Questions and Large Language Model Answers: Comparative Evaluation Study

Authors of this article:

Mário César Bulla1, 2 Author Orcid Image ;   Daniel Lavinsky3 Author Orcid Image ;   Alexandre Antonio Marques Rosa4 Author Orcid Image ;   Pedro Carlos Carricondo1 Author Orcid Image
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