
Accuracy improvement
Predicting prostate cancer with radiomics and machine learning
A team of researchers from the Icahn School of Medicine at Mount Sinai and Keck School of Medicine at the University of Southern California (USC) have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before. The framework, described in a Scientific Reports paper, is intended to help physicians—in particular,…