AUA2021 Day 3 eNews - 091221

8 AUA2021 DAILY NEWS • SUNDAY • SEPTEMBER 12, 2021 learn more www . edap - tms . com Fully Robotic HIFU platform Exclusive Dynamic Focusing technology HIFUsion - Proprietary elastic fusion algorithm LET’S GET VIRTUAL! IT’S EASIER THAN EVER TO PARTICIPATE IN THE AUA ANNUAL CENSUS! THIS YEAR, ALL RESPONSES WILL BE COLLECTED ONLINE ONLY. SKIP THE LINE, SCAN THE CODE, AND SUBMIT TODAY! SCAN THE QR CODE WITH YOUR PHONE CAMERA TO GET STARTED. laid and we currently have the building blocks needed to do this. We just need to assemble them.” In his presentation on assessing surgical competence with AI, Dr. Hung said his team at USC has used several years’ worth of surgical video and combined it with systems data from the da Vinci robot to develop a list of automated performance metrics (APMs). Dr. Hung and his colleagues then used the APMs to train a machine learning model to predict the length of stay after a robot-assisted radical prostatectomy (RARP). “We were able to predict, with 85% accuracy, whether patients were going to spend one to two days in the hospital or more than two days after surgery was performed,” he said. “Over the years, we have increased our granularity and sophistication.” In another study focused on predicting urinary continence recovery after RARP using a deep learning model, which was then used to evaluate surgeon’s historical patient outcomes, Dr. Hung said the investigators concluded that using APMs and clinicopathological data, the deep learning models-based survival analysis (DeepSurv) model was able to predict continence after RARP. In this feasibility study, surgeons with more efficient APMs achieved higher continence rates at 3 and 6 months after RARP. “Of the top 10 (negative factors affecting patient outcomes) that were most predictive, what we found was that all were surgeon factors, not patient factors,” he said. AI IN UROLOGY continued from page 1 “We were able to predict, with 85% accuracy, whether patients were going to spend one to two days in the hospital or more than two days after surgery was performed. Over the years, we have increased our granularity and sophistication.” Andrew Hung, MD