Dr. Sonn on how deep learning can help speed up outlining the prostate
“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.
Phase 1B trial to evaluate relugolix and enzalutamide in high-risk prostate cancer
July 24th 2024"Going forward after this study, we hope to be able to expand and potentially look at patients undergoing either surgery or radiation therapy, and really try to determine the potential benefit," says Kelly L. Stratton, MD, FACS.
