Researchers have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before. The framework is intended to help physicians — in particular, radiologists — more accurately identify treatment options for prostate cancer patients, lessening the chance of unnecessary clinical intervention.