Five critical quality criteria for artificial intelligence-based prediction models.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 37897346.
- Also identified by DOI 10.1093/eurheartj/ehad727 and PMC identifier 10702458.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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.
Medical subject headings
- Artificial Intelligence
- Software