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A Novel Machine Learning-Based Predictive Model of Clinically Significant Prostate Cancer and Online Risk Calculator

2024; Elsevier BV; Volume: 196; Linguagem: Inglês

10.1016/j.urology.2024.11.001

1527-9995

Flavio Ordones, Paulo Roberto Kawano, Lodewikus Vermeulen, Ali Hooshyari, David Scholtz, Peter Gilling, Darren Foreman, Basil Kaufmann, Cédric Poyet, Michael B. Gorin, Abner Mácola Pacheco Barbosa, Naila Camila da Rocha, Luís Gustavo Modelli de Andrade,

Radiomics and Machine Learning in Medical Imaging

To create a machine learning predictive model combining PI-RADS score, PSA density, and clinical variables to predict clinically significant prostate cancer (csPCa).