Real‐world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data

Abstract

Deep‐learning neural network algorithms for detecting prostate cancer in MRI have proliferated in the literature. However, out of 30+ studies published since the PROSTATEx challenge, no studies tested the performance of their algorithm against using true external image data sets (studies came from an outside institution that did not supply any training data to the algorithm) while validating against MR‐US fusion biopsy or whole‐mount prostatectomy. Using true external data sets paints a much clearer picture of real‐world clinical performance of an algorithm.