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

Generative Language Models Including ChatGPT (459) Information Seeking, Information Needs (517) Chatbots and Conversational Agents (614) Demographics of Users, Social & Digital Divide (822) eHealth Literacy / Digital Literacy (446) Assessing and Building eHealth / Digital Literacy in Populations (43)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55138, first published .
Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study

Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study

Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study

Authors of this article:

Oluwatobiloba Ayo-Ajibola1 Author Orcid Image ;   Ryan J Davis1 Author Orcid Image ;   Matthew E Lin2 Author Orcid Image ;   Jeffrey Riddell3 Author Orcid Image ;   Richard L Kravitz4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Ayo-Ajibola O, Julien C, Lin M, Riddell J, Duan N, Kravitz R. Association of Primary Care Access with Health-Related ChatGPT Use: A National Cross-Sectional Survey. Journal of General Internal Medicine 2025 View
  2. Liu J, Segal K, Daher M, Ozolin J, Binder W, Bergen M, McDonald C, Owens B, Antoci V. Artificial intelligence versus orthopedic surgeons as an orthopedic consultant in the emergency department. Injury 2025;56(4):112297 View