Clinical Research Directory

Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer

Sponsor: IRCCS Azienda Ospedaliero-Universitaria di Bologna

Summary

The goal of this observational study is to validate a clinically significant predictive machine learning model based on the processing of images RMmp (Multiparametric Magnetic Resonance Imaging). To be validated the model should be evaluated on: * Specificity (SP): is the probability of a negative test result, conditioned on the individual truly being negative * Sensitivity (SN): is the probability of a positive test result, conditioned on the individual truly being positive

Official title: Validation of a Machine Learning Model Based on Multiparametric MR for the Prediction of Clinically Significant Prostate Cancer

Key Details

Conditions

Locations (1)