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

Generative Language Models Including ChatGPT (708) Consumer & Patient Education and Shared-Decision Making (862) Information Quality in Digital Media (407) Quality/Credibility of eHealth Information and Trust Issues (654) Artificial Intelligence (2129) Chatbots and Conversational Agents (740) mHealth for Patient Education (292)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55847, first published .
Leveraging Large Language Models for Improved Patient Access and Self-Management: Assessor-Blinded Comparison Between Expert- and AI-Generated Content

Leveraging Large Language Models for Improved Patient Access and Self-Management: Assessor-Blinded Comparison Between Expert- and AI-Generated Content

Leveraging Large Language Models for Improved Patient Access and Self-Management: Assessor-Blinded Comparison Between Expert- and AI-Generated Content

Authors of this article:

Xiaolei Lv1, 2, 3, 4, 5, 6 Author Orcid Image ;   Xiaomeng Zhang1, 2, 3, 4, 5, 6 Author Orcid Image ;   Yuan Li1, 2, 3, 4, 5, 6 Author Orcid Image ;   Xinxin Ding1, 2, 3, 4, 5, 6 Author Orcid Image ;   Hongchang Lai1, 2, 3, 4, 5, 6 Author Orcid Image ;   Junyu Shi1, 2, 3, 4, 5, 6 Author Orcid Image
Article Authors Cited by (16) Tweetations (6) Metrics

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  5. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
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  8. Alhazmi N, Alshehri A, BaHammam F, Philip M, Nadeem M, Khanagar S. Can Large Language Models Serve as Reliable Tools for Information in Dentistry? A Systematic Review. International Dental Journal 2025;75(4):100835 View
  9. Ye Y, Zheng E, Lan Q, Wu L, Sun H, Xu B, Wang Y, Teng M. Comparative evaluation of the accuracy and reliability of ChatGPT versions in providing information on Helicobacter pylori infection. Frontiers in Public Health 2025;13 View
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  12. Salvi S, Vu G, Gurupur V, King C. Digital Convergence in Dental Informatics: A Structured Narrative Review of Artificial Intelligence, Internet of Things, Digital Twins, and Large Language Models with Security, Privacy, and Ethical Perspectives. Electronics 2025;14(16):3278 View
  13. Strachna O, Asan O. Current Applications, Research Gaps, and Future Perspectives in Design of Resilient Patient-Facing Generative AI Applications: A Rapid Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):1210 View
  14. Kong M, Fok E, Yiu C. A Scoping Review of Large Language Models in Dental Education: Applications, Challenges, and Prospects. International Dental Journal 2025;75(6):103854 View
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