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

Generative Language Models Including ChatGPT (708) Chatbots and Conversational Agents (740) Quality/Credibility of eHealth Information and Trust Issues (654) Information Seeking, Information Needs (561) Infodemiology and Infoveillance (1558) Health Education for Children and Adolescents (64)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52401, first published .
ChatGPT and Google Assistant as a Source of Patient Education for Patients With Amblyopia: Content Analysis

ChatGPT and Google Assistant as a Source of Patient Education for Patients With Amblyopia: Content Analysis

ChatGPT and Google Assistant as a Source of Patient Education for Patients With Amblyopia: Content Analysis

Authors of this article:

Gloria Wu1 Author Orcid Image ;   David A Lee2 Author Orcid Image ;   Weichen Zhao3 Author Orcid Image ;   Adrial Wong3 Author Orcid Image ;   Rohan Jhangiani4 Author Orcid Image ;   Sri Kurniawan4 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Nughays R, Almazroy E, Elyas S, Alamoudi A, Batais W, Bogari A, Alnabihi A, Alkharboush D, Almarzouki H. Efficacy of Dichoptic Treatment vs Eye Patching in Pediatric Patients with Amblyopia: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Clinical Ophthalmology 2025;Volume 19:1999 View
  2. Douma H, McNamara C, Bakola M, Stuckler D. Leveraging ChatGPT to strengthen pediatric healthcare systems: a systematic review. European Journal of Pediatrics 2025;184(8) View
  3. Zhang Z, Zhang H, Pan Z, Bi Z, Wan Y, Song X, Fan X. Evaluating Large Language Models in Ophthalmology: Systematic Review. Journal of Medical Internet Research 2025;27:e76947 View