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

Artificial Intelligence (4534) Decision Support for Health Professionals (2117) Chatbots and Conversational Agents (1134) Reviews in AI (160) Research Methodology - AI (150) Responsible Health AI (194)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77110, first published .
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Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review

Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review

Authors of this article:

Juan B Cabello1 Author Orcid Image ;   Vicente Ruiz Garcia2 Author Orcid Image ;   Miguel Torralba3 Author Orcid Image ;   Miguel Maldonado Fernandez4 Author Orcid Image ;   Marimar Ubeda5 Author Orcid Image ;   Eukene Ansuategui6 Author Orcid Image ;   Luis Ramos-Ruperto7 Author Orcid Image ;   Jose I Emparanza8 Author Orcid Image ;   Iratxe Urreta8 Author Orcid Image ;   Maria Teresa Iglesias8 Author Orcid Image ;   Jose I Pijoan9 Author Orcid Image ;   Amanda Burls10 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

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  2. Adeyeye S. Artificial intelligence–driven predictive modeling and smart surveillance systems for mycotoxin risk management in global food chains. Journal of Stored Products Research 2026;119:103138 View
  3. Yin X, Song H, Moreira J, Song C, Sun Y. Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study. DIGITAL HEALTH 2026;12 View
  4. Karcıoğlu U. Digital Health as an Organizational Change Catalyst: A Conceptual Review from a Healthcare Management Perspective. Journal of Health Systems and Policies 2026;8(1):85 View