Using machine learning tools to predict prostate cancer upgrading after robotic radical prostatectomy
Daniele Panfilo, Cosimo De Nunzio, Antonio Luigi Pastore, Sebastiano Saccani, Alexander Boudewijn, Pietro Tortella, Manuela Mattioli, Riccardo Lombardo, A Carbone, Andrea Fuschi, Lorenzo Dutto, Jorn H Witt, , Andrea Tubaro
European Urology Supplements
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Several nomograms have been developed to predict prostate cancer upgrading however very little artificial intelligence (AI) tools are available for this purpose. Aim of our study was to test the feasibility of AI to predict upgrading in patients with PCa undergoing robotic radical prostatectomy.