Diagnostic Performance of Artificial Intelligence Based on Biparametric MRI for Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis.

Journal: Academic radiology
Published Date: Mar 8, 2025

Abstract

OBJECTIVES: This meta-analysis aimed to systematically evaluate the diagnostic performance of artificial intelligence (AI) applied to biparametric magnetic resonance imaging (bpMRI) for identifying clinically significant prostate cancer (csPCa).

Authors

  • Guangzhao Yan
    Department of Emergency Medicine, Emergency and Critical Care Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
  • Yanyan Wang
    College of Mathematics and Information Science, Henan Normal University, Xinxiang, 453007, China. Electronic address: yanyanwangmail@126.com.
  • Liqun Chen
    Department of Nephrology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, China. cqll1970@163.com.

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