Combination of radiomics and machine learning can accurately predict pure uric acid urinary stones: Study
Korea: A recent study published in the World Journal of Urology has suggested a potential assisting tool for the treatment selection of stone disease. The researchers revealed that a machine learning algorithm trained with radiomics features from non-contrast-enhanced computed tomography scans (NCCTs) accurately predicted pure uric acid (pUA) urinary stones. Oral chemolysis is a non-invasive […]