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ABSTRACT: Introduction
The use of artificial intelligence (AI) in urology is gaining significant traction. While previous reviews of AI applications in urology exist, there have been few attempts to synthesize existing literature on urothelial cancer (UC).Methods
Comprehensive searches based on the concepts of "AI" and "urothelial cancer" were conducted in MEDLINE , EMBASE , Web of Science, and Scopus. Study selection and data abstraction were conducted by two independent reviewers. Two independent raters assessed study quality in a random sample of 25 studies with the prediction model risk of bias assessment tool (PROBAST) and the standardized reporting of machine learning applications in urology (STREAM-URO) framework.Results
From a database search of 4581 studies, 227 were
SUBMITTER: Malik S
PROVIDER: S-EPMC10657228 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature