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

Chatbots and Conversational Agents (648) Participatory Medicine & E-Patients (837) Demographics of Users, Social & Digital Divide (849) eHealth Literacy / Digital Literacy (466) Information Retrieval (325) Information Seeking, Information Needs (532) Generative Language Models Including ChatGPT (526) Artificial Intelligence (1786)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64290, first published .
Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Authors of this article:

Tamir Mendel1 Author Orcid Image ;   Nina Singh2 Author Orcid Image ;   Devin M Mann3 Author Orcid Image ;   Batia Wiesenfeld4 Author Orcid Image ;   Oded Nov1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics Author Video

Journals

  1. Hassan M, Abdelaziz A, Abdelrahman H, Mohamed M, Ellabban M. Performance of AI‐Chatbots to Common Temporomandibular Joint Disorders (TMDs) Patient Queries: Accuracy, Completeness, Reliability and Readability. Orthodontics & Craniofacial Research 2025 View
  2. Rebitschek F, Carella A, Kohlrausch-Pazin S, Zitzmann M, Steckelberg A, Wilhelm C. Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information. npj Digital Medicine 2025;8(1) View