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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 Teoh
Published 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.
Keyphrases
  • prostate cancer
  • machine learning
  • radical prostatectomy
  • deep learning
  • artificial intelligence
  • big data
  • ultrasound guided
  • neural network