Prediction of Adverse Pathology at Radical Prostatectomy in Grade Group 2 and 3 Prostate Biopsies Using Machine Learning.

Nathan Paulson Tal ZeeviMaria PapademetrisMichael S Leapman John A Onofrey Preston C SprenklePeter A HumphreyLawrence H Staib Angelique W Levi

Published in: JCO clinical cancer informatics (2022)

We provide evidence for the potential of ML algorithms to use WSIs of needle core prostate biopsies to estimate clinically relevant prostate cancer outcomes.

Keyphrases

prostate cancer
radical prostatectomy
ultrasound guided
machine learning
deep learning
emergency department
metabolic syndrome
adipose tissue
risk assessment
adverse drug
glycemic control