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Journal article

Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

Abstract

The Standardized Reporting of Machine Learning Applications in Urology (STREAM-URO) framework was developed to provide a set of recommendations to help standardize how machine learning studies in urology are reported. This framework serves three purposes: (1) to promote high-quality studies and streamline the peer review process; (2) to enhance reproducibility, comparability, and interpretability of results; and (3) to improve engagement and …

Authors

Kwong JCC; McLoughlin LC; Haider M; Goldenberg MG; Erdman L; Rickard M; Lorenzo AJ; Hung AJ; Farcas M; Goldenberg L

Journal

European Urology Focus, Vol. 7, No. 4, pp. 672–682

Publisher

Elsevier

Publication Date

July 2021

DOI

10.1016/j.euf.2021.07.004

ISSN

2405-4569