Accessibility settings

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

AI Language Models in Health Care (870) Consumer & Patient Education and Shared-Decision Making (1313) Information and Patient Education on Healthy Aging (127) Ophthalmology (127) Presbyopia and other Age-related Eye Diseases and Vision Impairments (32) Generative Language Models Including ChatGPT (1684)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91016, first published .
Ophthalmologist shows patient eye health on tablet, with retinal scan on screen.

Mapping the Reliability-Readability Gap in the Education of Patients With Age-Related Macular Degeneration Across 6 Large Language Models: Comparative Evaluation Study

Mapping the Reliability-Readability Gap in the Education of Patients With Age-Related Macular Degeneration Across 6 Large Language Models: Comparative Evaluation Study

Authors of this article:

Zhili Lu1 Author Orcid Image ;   Haixing Cao1 Author Orcid Image ;   Cong Ma1 Author Orcid Image ;   Jin Zheng1 Author Orcid Image ;   Xiang Ma1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Cao S, Liang J, Zhang H, Cui X, Zhao Q, Cheng Y, Ren Y, Jiang Y, Li H. Cross-linguistic differences in responses to patient queries on osteonecrosis of the femoral head between English and Chinese-oriented large language models: a semantically matched bilingual cross-sectional study. Frontiers in Public Health 2026;14 View