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

Formative Evaluation of Digital Health Interventions (5514) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2759) Infodemiology and Infoveillance (2065) Quality/Credibility of eHealth Information and Trust Issues (991) Information Quality in Digital Media (470) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1436)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50561, first published .
Young Asian woman focused on laptop screen while working from home

Tumor Immunotherapy–Related Information on Internet-Based Videos Commonly Used by the Chinese Population: Content Quality Analysis

Tumor Immunotherapy–Related Information on Internet-Based Videos Commonly Used by the Chinese Population: Content Quality Analysis

Authors of this article:

Chen-xu Ni1 Author Orcid Image ;   Yi-bo Fei1 Author Orcid Image ;   Ran Wu1 Author Orcid Image ;   Wen-xiang Cao1 Author Orcid Image ;   Wenhao Liu1 Author Orcid Image ;   Fang Huang1 Author Orcid Image ;   Fu-ming Shen1 Author Orcid Image ;   Dong-jie Li1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Wang J, Xun J, Zhao F. The theoretical impact of AI-based quality evaluation of short-video health information on public cognition and treatment adherence: a case study of denosumab combined with PD-1/PD-L1 therapy for lung cancer bone metastasis. Frontiers in Public Health 2026;13 View
  2. Yaslikaya Ş, Ataş İpek Ş, Erdem Palaz E. General-purpose and medically adapted large language models versus oncologist consensus for immunotherapy videos. Frontiers in Public Health 2026;14 View