Clinical application of machine learning models in patients with prostate cancer before prostatectomy.

Adalgisa GuerraMatthew R OrtonHelen WangMarianna KonidariKris MaesNickolas K PapanikolaouDow Mu Koh

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2024)

The combined model based on clinical, semantic and radiomic features may be used to predict pECE + in patients with PCa and results in a positive net benefit when used to choose between prostatectomy with NNS or NNSS.

Keyphrases

prostate cancer
machine learning
robot assisted
benign prostatic hyperplasia
radical prostatectomy
artificial intelligence
minimally invasive
deep learning