Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis.

ABSTRACT:

Objectives

The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great importance for more effective treatment. Encouraged by the key role of imaging in the management of RCC, we conducted a systematic review and meta-analysis of the studies that made use of artificial intelligence (AI) for the detection of RCC to quantitatively determine the performance of AI for distinguishing related renal lesions.

Materials and methods

PubMed, Scopus, CENTRAL, and Embase electronic databases were systematically searched in November 2024 to identify studies that applied AI for the detection or classification of RCC. We conducted a meta-analysis to evaluate the diagnostic performance of utilized algorithms. Moreover, meta-regression was conducted over suspected cov

SUBMITTER: Gouravani M 

PROVIDER: S-EPMC11773916 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature