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ABSTRACT: Background
Health research that uses predictive and generative artificial intelligence (AI) is rapidly growing. As in traditional clinical studies, the way in which AI studies are conducted can introduce systematic errors. The translation of this AI evidence into clinical practice and research needs critical appraisal tools for clinical decision-makers and researchers.Objective
This study aimed to identify existing tools for the critical appraisal of clinical studies that use AI and to examine the concepts and domains these tools explore. The research question was framed using the Population-Concept-Context (PCC) framework. Population (P): AI clinical studies; Concept (C): tools for critical appraisal and associated constructs such as quality, reporting, validity, risk of b
SUBMITTER: Cabello JB
PROVIDER: S-EPMC12685289 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature