In current precision prostate cancer (PCa) surgery era the identification of the best patients’ candidate for prostate biopsy still remains an open issue. The aim of this study was to evaluate if the available prebiopsy characteristics are enough to predict prostate target biopsy (TB) outcomes. The study is conducted using artificial intelligence approach based on the available dataset.
Using artificial intelligence approach based to predict prostate target biopsy (TB) outcomes / Quarto, G.; Passaro, F.; Franzese, D.; Izzo, A.; Castaldo, L.; Grimaldi, G.; Muscariello, R.; Spena, G.; Tufano, A.; Calabro', F.; De Falco, D. E.; Desicato, S.; Del Prete, P.; Perdonà, S.. - In: MINERVA UROLOGY AND NEPHROLOGY. - ISSN 2724-6051. - VOLUME 75:SUPPL. 1 . N o . 5 .(2023), pp. 219-219. (Intervento presentato al convegno SIU).
Using artificial intelligence approach based to predict prostate target biopsy (TB) outcomes
F. Calabro';
2023
Abstract
In current precision prostate cancer (PCa) surgery era the identification of the best patients’ candidate for prostate biopsy still remains an open issue. The aim of this study was to evaluate if the available prebiopsy characteristics are enough to predict prostate target biopsy (TB) outcomes. The study is conducted using artificial intelligence approach based on the available dataset.| File | Dimensione | Formato | |
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Abstract_Quarto_siu-suppl_SC268eSC390.pdf
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