- Benign Prostatic Hyperplasia
- Hormone Therapy
- Genomic Testing
- Next-Generation Imaging
- UTUC
- OAB and Incontinence
- Genitourinary Cancers
- Kidney Cancer
- Men's Health
- Pediatrics
- Female Urology
- Sexual Dysfunction
- Kidney Stones
- Urologic Surgery
- Bladder Cancer
- Benign Conditions
- Prostate Cancer
Machine-learning algorithm for predicting stone recurrence shows promise
“We were able to develop a machine learning model that had decent accuracy…in predicting which patients would have an additional stone event and which patients wouldn't,” says Kevin Shee, MD, PhD.
In this video, Kevin Shee, MD, PhD, discusses the background and notable findings of the study, “A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-hour Urine Data,” which was presented at the Western Section of the American Urological Association Annual Meeting in Koloa, Hawaii. Shee is a urology resident at the University of California, San Francisco.
Blue light cystoscopy decreases risk of recurrence, progression in NMIBC
May 9th 2024“The results of the BRAVO study performed within the VA health care system showed significant decreases in the risk of recurrence and progression, as well as the potential for improved overall survival in patients who received a BLC compared to patients who received WLC only,” says Stephen B. Williams, MD, MBA, MS, FACS, FACHE.
