Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes.
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DOI: 10.1089/end.2018.0035
Abstract: PURPOSE Surgical performance is critical for clinical outcomes. We present a novel machine learning (ML) method of processing automated performance metrics (APMs) to evaluate surgical performance and predict clinical outcomes after robot-assisted radical prostatectomy (RARP).… read more here.
Keywords: machine learning; clinical outcomes; los; performance predict ... See more keywords