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

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 artific...

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Bibliographic Details
Main Authors: Mahdi Gouravani, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Shayan Shojaei, Sina Mirakhori, Hamid Harandi, Soheil Mohammadi, Ramy R. Saleh
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Cancer
Subjects:
Renal cell carcinoma
Artificial intelligence
Deep learning
Meta-analysis
Imaging
Online Access:https://doi.org/10.1186/s12885-025-13547-9
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https://doi.org/10.1186/s12885-025-13547-9

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