AI classifies low- and high-risk prostate cancer

A new framework combining machine learning and radiomics will help distinguish between low- and high-risk prostate cancer, according to new research published in Scientific Reports. "By rigorously and systematically combining machine learning with radiomics, our goal is to provide radiologists and clinical personnel with a sound prediction tool that can eventually translate to more effective and personalized patient care," said lead author Gaurav Pandey, PhD, of the Icahn School of Medicine at Mount Sinai, in a prepared statement. AI continues to be an instrumental tool in the diagnosis of many cancers, including cervical, uterine and lung. Pandey and colleagues developed the method to allow for radiologists to accurately identify treatment options for prostate cancer patients. This may decrease the chance for unnecessary clinical intervention.