PSA-based machine learning model improves prostate cancer risk stratification in a screening population

ConclusionsDevelopment of a dense neural network model improved the diagnostic accuracy in screening for prostate cancer. These results demonstrate an additional utility of machine learning methods in prostate cancer risk stratification when using biochemical parameters.

http://link.springer.com/10.1007/s00345-020-03392-9

Source: World Journal of Urology - August 2, 2020 Category: Urology & Nephrology Source Type: research