Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study.
Peter Ka-Fung ChiuXiao ShenGuanjin WangCho-Lik HoSteven Chi Ho LeungChi-Fai NgKup-Sze ChoiJeremy Yuen Chun TeohPublished in: Prostate cancer and prostatic diseases (2021)
By using the same clinical parameters, ML techniques performed better than ERSPC-RC or PSA density in csPCa predictions, and could avoid up to 50% unnecessary biopsies.