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Predicting biochemical recurrence of prostate cancer with artificial intelligence.

Hans PinckaersJolique van IpenburgJonathan MelamedAngelo M DeMarzoElizabeth A PlatzBram van GinnekenJeroen van der LaakGeert Litjens
Published in: Communications medicine (2022)
These results show that the model finds predictive power in the tissue beyond the morphological ISUP grading.
Keyphrases
  • artificial intelligence
  • prostate cancer
  • machine learning
  • big data
  • deep learning
  • radical prostatectomy
  • free survival