Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review
The results picture a landscape of evidence tools where reporting tools predominate, followed by critical appraisal, and a few tools for risk of bias. The mismatch of bias in AI and epidemiology should be considered for critical appraisal, especially regarding fairness and bias mitigation in AI. Finally, chatbot assessment studies represent a vast and evolving field in which progress in design, reporting, and critical appraisal is necessary and urgent.
Authors
- José Ignacio Pijoán (ORCID: https://orcid.org/0000-0002-5974-5280)
- Marimar Ubeda (ORCID: https://orcid.org/0000-0002-6605-2941)
- Iratxe Urreta (ORCID: https://orcid.org/0000-0003-0498-6033)
- Amanda Burls (ORCID: https://orcid.org/0000-0001-9540-622X)
- Juan B Cabello (ORCID: https://orcid.org/0000-0002-6269-316X)
- Miguel Torralba (ORCID: https://orcid.org/0000-0003-2166-7405)
- Vicente Ruiz García (ORCID: https://orcid.org/0000-0002-5134-3850)
- Eukene Ansuategi (ORCID: https://orcid.org/0000-0002-0400-0679)
- María Teresa Iglesias
- Miguel Maldonado Fernandez (ORCID: https://orcid.org/0000-0002-7307-9659)
- José Ignacio Emparanza
- Luis Ramos-Ruperto
Institutions
- University of Alicante (ES)
- St George's, University of London (GB)
- Hospital Universitario La Paz (ES)
- Hospital Universitari i Politècnic La Fe (ES)
- BioCruces Health research Institute (ES)
- Argyll and Bute Hospital (GB)
- Hospital Universitario de Guadalajara (ES)
- Biogipuzkoa Health Research Institute (ES)
- Biblioteca Nacional de España (ES)
- Hospital de Cruces (ES)
- Donostiako Unibertsitate Ospitalea (ES)
- Fundación Renal Española (ES)
- City St George's, University of London (GB)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-10-14
- DOI
- https://doi.org/10.2196/77110
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00