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

Consumer & Patient Education and Shared-Decision Making (871) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1002) Artificial Intelligence (2169) Generative Language Models Including ChatGPT (725) AI Language Models in Health Care (209)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68560, first published .
Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Authors of this article:

Hye Sun Yun1 Author Orcid Image ;   Timothy Bickmore1 Author Orcid Image
Article Authors Cited by (17) Tweetations Metrics

Journals

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  12. You Q, Luo Y, Chen Z, Song X, Wang F, Wen S, Ding Q, Chen J. How large language model responds to common depression questions: A comparative analysis of ChatGPT-4.0, DeepSeek, Google Gemini and Perplexity. Nurse Education in Practice 2026;90:104668 View
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