
Abraham Morgentaler, MD, reviews evidence showing no association between testosterone therapy and prostate cancer risk and explains the saturation model of androgen action.
“In this study, we show that AI can be used to speed up the time-consuming step of outlining the prostate that's required for targeted prostate biopsy,” says Geoffrey Sonn, MD.
In this video, Geoffrey Sonn, MD, discusses the recent Journal of Urology paper, “Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on MRI for Targeted Biopsy,” for which he served as a study author. Sonn is assistant professor of urology and, by courtesy, of radiology at the Stanford University Medical Center in Stanford, California.






