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PD58-01 UTILIZATION OF MACHINE LEARNING AND AUTOMATED PERFORMANCE METRICS TO EVALUATE ROBOT-ASSISTED RADICAL PROSTATECTOMY PERFORMANCE AND PREDICT PATIENT OUTCOMES
1
Zitationen
9
Autoren
2018
Jahr
Abstract
INTRODUCTION AND OBJECTIVES: Surgical performance is crucial for clinical outcomes. We present a novel machine learning (ML) method of processing automated performance data to evaluate surgical performance and predict clinical outcomes after robot-assisted radical prostatectomy (RRP).
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