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

Generative Language Models Including ChatGPT (288) Consumer & Patient Education and Shared-Decision Making (667) Information Quality in Digital Media (334) Quality/Credibility of eHealth Information and Trust Issues (521) Artificial Intelligence (1323) Artificial Intelligence (83) Chatbots and Conversational Agents (514) mHealth for Patient Education (227)

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 (4) Tweetations (6) Metrics

Journals

  1. Yong L, Tung J, Lee Z, Kuan W, Chua M. Performance of Large Language Models in Patient Complaint Resolution: Web-Based Cross-Sectional Survey. Journal of Medical Internet Research 2024;26:e56413 View
  2. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024 View
  3. Hadar-Shoval D, Asraf K, Shinan-Altman S, Elyoseph Z, Levkovich I. Embedded values-like shape ethical reasoning of large language models on primary care ethical dilemmas. Heliyon 2024;10(18):e38056 View
  4. Kim H, Kim G. Can a large language model create acceptable dental board-style examination questions? A cross-sectional prospective study. Journal of Dental Sciences 2024 View