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

Generative Language Models Including ChatGPT (320) Information Seeking, Information Needs (477) Chatbots and Conversational Agents (542) Demographics of Users, Social & Digital Divide (756) eHealth Literacy / Digital Literacy (395) Assessing and Building eHealth / Digital Literacy in Populations (35)

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 Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.