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

Chatbots and Conversational Agents (638) Natural Language Processing (805) Smoking Cessation (594) Generative Language Models Including ChatGPT (511) Artificial Intelligence (1762) Quality/Credibility of eHealth Information and Trust Issues (603) Information Quality in Digital Media (375)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66896, first published .
Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis

Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis

Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis

Authors of this article:

Lorien C Abroms1 Author Orcid Image ;   Artin Yousefi2 Author Orcid Image ;   Christina N Wysota3 Author Orcid Image ;   Tien-Chin Wu1 Author Orcid Image ;   David A Broniatowski2 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

Journals

  1. Olawade D, Aienobe-Asekharen C. Artificial intelligence in tobacco control: A systematic scoping review of applications, challenges, and ethical implications. International Journal of Medical Informatics 2025;202:105987 View