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Five critical quality criteria for artificial intelligence-based prediction models. | LitMetric

Five critical quality criteria for artificial intelligence-based prediction models.

Eur Heart J

Department of Epidemiology & Health Economics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, Netherlands.

Published: December 2023

To raise the quality of clinical artificial intelligence (AI) prediction modelling studies in the cardiovascular health domain and thereby improve their impact and relevancy, the editors for digital health, innovation, and quality standards of the European Heart Journal propose five minimal quality criteria for AI-based prediction model development and validation studies: complete reporting, carefully defined intended use of the model, rigorous validation, large enough sample size, and openness of code and software.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10702458PMC
http://dx.doi.org/10.1093/eurheartj/ehad727DOI Listing

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