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

AI Language Models in Health Care (711) Consumer & Patient Education and Shared-Decision Making (1260) Information and Patient Education on Healthy Aging (108) Ophthalmology (112) Presbyopia and other Age-related Eye Diseases and Vision Impairments (30) Generative Language Models Including ChatGPT (1445)

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 Tweetations Metrics

Zhili Lu   1 * , MD ;   Haixing Cao   1 * , PhD ;   Cong Ma   1 , MD ;   Jin Zheng   1 , MD ;   Xiang Ma   1 , MD, PhD

1 Department of Ophthalmology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China

*these authors contributed equally

Corresponding Author:

  • Xiang Ma, MD, PhD
  • Department of Ophthalmology
  • First Affiliated Hospital of Dalian Medical University
  • 222 Zhongshan Road, Dalian City, Liaoning Province
  • Dalian, Liaoning 116011
  • China
  • Phone: 86 18098876399
  • Email: eyedl220@163.com