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

Digital Health Reviews (3792) Clinical Information and Decision Making (3838) Reviews (305) Theoretical Frameworks and Concepts (576) Decision Support for Health Professionals (2306) Digital Health Reporting Standards, Quality and Transparency in e-Research (243) Artificial Intelligence (4925)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78168, first published .
Doctor analyzing medical data and brain scans on a computer screen with alert.

Evaluation Frameworks for Clinical AI Incorporating Validation Strategies, Real-World Applicability, and Ethical Principles: Scoping Review

Evaluation Frameworks for Clinical AI Incorporating Validation Strategies, Real-World Applicability, and Ethical Principles: Scoping Review

Authors of this article:

Diana Carolina López Medina1 Author Orcid Image ;   Aida Oliveros-Navarro1 Author Orcid Image ;   Nataly Moreno Angel2 Author Orcid Image ;   Andrés Camilo Herrera- Arellano3 Author Orcid Image ;   Marcela Henao-Pérez1 Author Orcid Image
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Journals

  1. Jodalli P, Vinay V, Chavan M, Shenoy R, Deshpande U, Thomas Kuriadom S, Mishra A, Shetty R. Diagnostic performance of artificial intelligence in oral squamous cell carcinoma detection: a higher-order evidence synthesis through umbrella review and meta-meta-analysis. Frontiers in Dental Medicine 2026;7 View