Video
Dr. Sonn on how deep learning can help speed up outlining the prostate
Author(s):
“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.
Video Player is loading.
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.
Related Videos
Urologist discusses drug cost savings, price transparency
Neeraj Agarwal, MD, shares key takeaways from TALAPRO-2
Expert describes implications of neoadjuvant durvalumab approval in MIBC
Ian Metzler, MD, highlights recent advances in kidney stone technology
Ekene Enemchukwu, MD, on underutilization of vaginal estrogen for GSM
Sima Porten, MD, on gene-environment interactions in bladder cancer development
Naeem Bhojani, MD, expands on key findings from WATER III trial
Hailey Frye discusses improvement of pain management for nephrolithiasis
Ekene Enemchukwu, MD, on trends in vaginal estrogen use for GSM
How rBCG EAP could open up access for Anktiva in bladder cancer
Related Content
