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

Quality/Credibility of eHealth Information and Trust Issues (683) Consumer & Patient Education and Shared-Decision Making (942) Infodemiology and Infoveillance (1613) Information Quality in Digital Media (421) Patient Education for Surgery and Anesthesiology (42) Gastroenterology and Hepatology (148) Artificial Intelligence (2423) Generative Language Models Including ChatGPT (866)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58855, first published .
The Reliability and Quality of Videos as Guidance for Gastrointestinal Endoscopy: Cross-Sectional Study

The Reliability and Quality of Videos as Guidance for Gastrointestinal Endoscopy: Cross-Sectional Study

The Reliability and Quality of Videos as Guidance for Gastrointestinal Endoscopy: Cross-Sectional Study

Authors of this article:

Jinpei Liu1 Author Orcid Image ;   Yifan Qiu2 Author Orcid Image ;   Yilong Liu3 Author Orcid Image ;   Wenping Xu3 Author Orcid Image ;   Weichen Ning1 Author Orcid Image ;   Peimei Shi3 Author Orcid Image ;   Zongli Yuan3 Author Orcid Image ;   Fang Wang4 Author Orcid Image ;   Yihai Shi1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Hou P, Zhao W, Duan P, Cheng Y, Yao Y, Nazir A, Liu Y. TikTok, Bilibili, and Xiaohongshu as sources of information on frailty: Cross-sectional content analysis study. DIGITAL HEALTH 2026;12 View
  2. Zhao W, Chen X, Wang Z, Xiao Z, Yang J, Huang Z, Jiang Y, Liang R, Wang R. Stratified and combined analysis of the quality of lumbar spinal stenosis–related videos on major Chinese short video platforms. Frontiers in Digital Health 2026;8 View