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Review
. 2022 Feb;49(1):65-117.
doi: 10.1016/j.ucl.2021.07.009. Epub 2021 Oct 23.

Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists

Andrew B Chen  1 , Taseen Haque  2 , Sidney Roberts  2 , Sirisha Rambhatla  3 , Giovanni Cacciamani  1 , Prokar Dasgupta  4 , Andrew J Hung  5
Affiliations
Review

Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists

Andrew B Chen et al. Urol Clin North Am. 2022 Feb.

Abstract

The growth and adoption of artificial intelligence has led to impressive results in urology. As artificial intelligence grows more ubiquitous, it is important to establish artificial intelligence literacy in the workforce. To this end, we present a narrative review of the literature of artificial intelligence and machine learning in urology and propose a checklist of reporting standards to improve readability and evaluate the current state of the literature. The listed article demonstrated heterogeneous reporting of methodologies and outcomes, limiting generalizability of research. We hope that this review serves as a foundation for future evaluation of medical research in artificial intelligence.

Keywords: Artificial intelligence; Deep learning; Machine learning; Review; Urology.

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Conflict of interest statement

Funding Research reported in this publication was supported in part by the National Cancer Institute under Award No. R01CA251579-01A1.

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