An artificial intelligence (AI) system was better at detecting clinically significant prostate cancer on MRI compared with radiologists, a noninferiority, confirmatory study showed. In a subset of 400 ...

An artificial intelligence system slightly outperformed radiologists using PI-RADS at detecting clinically significant prostate cancer. A trained artificial intelligence (AI) system discriminated ...

A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...

MRI reports and biopsy pathology reports were extracted from a cohort of 1,360,866 patients with PCa in the VA Cancer Registry System or the VA Corporate Data Warehouse, with 155,570 patients having ...

A recent BMJ Oncology study screens the prevalence of prostate magnetic resonance imaging (MRI) lesions in men based on age rather than prostate-specific antigen (PSA) levels. Study: Prevalence of MRI ...

MRI of the prostate, combined with a blood test, can help determine if a prostate lesion is clinically significant cancer, new research suggests An enlarged prostate or potential prostate cancer is a ...

Prostate MRI currently lacks the accuracy to replace biopsies in active surveillance for prostate cancer. The negative predictive value of MRI remains below 90%, the general goal for safely avoiding ...

Scientists comment on the Prostate Cancer Research report that reviews the economic model used to inform decisions on prostate cancer screening in the UK. Prof Hashim Ahmed, Professor of Urology, ...