Exact Imaging Uses Machine Learning for Semi-Automated Smart Detection of Prostate Cancer

Daniel Rohdbach
Prostate cancer is the second-leading cause of male cancer-related death in the U.S. with approximately 1 in 7 men being diagnosed with prostate cancer during their lifetime[i].  Detection and diagnosis of this significant disease presents a major clinical challenge because the current standard-of-care imaging method, conventional transrectal ultrasound, cannot reliably distinguish cancerous from non-cancerous prostate tissue.  Therefore, prostate biopsies for definitively diagnosing cancer are currently delivered in a systematic but “blind” pattern.  Other imaging methods, such as MRI, have been investigated for guiding biopsies, but MRI involves complicated procedures, is costly, is poorly tolerated by most patients, and  demonstrates significant variability among clinical sites and practitioners.  Read More