7 in the journal Scientific Reports.Īfter testing various types of machine-learning classifiers, the researchers found the best performing classifier could potentially outperform assessments produced using Prostate Imaging Reporting and Data System (PI-RADS) version 2. A multi-institutional team of researchers has developed a new AI learning algorithm that can distinguish between low- and high-risk prostate cancer from multiparametric (mpMRI) scans with higher sensitivity and predictive value than current risk assessment approaches, according to research published online Feb.
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