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

Chatbots and Conversational Agents (636) Ophthalmology (58) Generative Language Models Including ChatGPT (503) eHealth Literacy / Digital Literacy (461)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59843, first published .
Large Language Models May Help Patients Understand Peer-Reviewed Scientific Articles About Ophthalmology: Development and Usability Study

Large Language Models May Help Patients Understand Peer-Reviewed Scientific Articles About Ophthalmology: Development and Usability Study

Large Language Models May Help Patients Understand Peer-Reviewed Scientific Articles About Ophthalmology: Development and Usability Study

Authors of this article:

Reza Kianian1 Author Orcid Image ;   Deyu Sun1 Author Orcid Image ;   William Rojas-Carabali2, 3, 4 Author Orcid Image ;   Rupesh Agrawal2, 3, 4 Author Orcid Image ;   Edmund Tsui1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Ratnagandhi J, Godavarthy P, Gnaneswaran M, Lim B, Vittalraj R. Enhancing Anesthetic Patient Education Through the Utilization of Large Language Models for Improved Communication and Understanding. Anesthesia Research 2025;2(1):4 View
  2. Qiang S, Zhang H, Liao Y, Zhang Y, Gu Y, Wang Y, Xu Z, Shi H, Han N, Yu H. Effectiveness of Large Language Models in Stroke Rehabilitation Health Education: A Comparative Study of ChatGPT-4, MedGo, Qwen, and ERNIE Bot (Preprint). Journal of Medical Internet Research 2025 View