Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy

CONCLUSION: This study aimed to improve clinicians' ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.PMID:38569618 | PMC:PMC10990759 | DOI:10.5213/inj.2346332.166

Source: International Neurourology Journal - April 3, 2024 Category: Urology & Nephrology Authors: Xinyu Cao Yin Fang Chunguang Yang Zhenghao Liu Guoping Xu Yan Jiang Peiyan Wu Wenbo Song Hanshuo Xing Xinglong Wu Source Type: research