Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI.

An editorial is presented on multiple researchers developing computer-aided detection (CAD) algorithms enabling the detection of clinically significant prostate cancer (csPCa) on MRI. Topics include developments being welcomed by radiologists, urologists, and healthcare administrators facing the increased demand for MRI-influenced prostate biopsies; and number of acceptable false detections depending on the urologist or patient showing biopsy versus cancer averse.