Do machine learning algorithms and automated performance metrics help assess surgical performance and predict clinical outcomes in robot-assisted radical prostatectomy?
Machine learning and automated performance metrics show potential in assessing surgical performance and predicting clinical outcomes for robot-assisted radical prostatectomy.
To our knowledge, ours is the first study to show that APMs and ML algorithms may help assess surgical RARP performance and predict clinical outcomes. With further accrual of clinical data (oncologic and functional data), this process will become increasingly relevant and valuable in surgical assessment and training.
Hung et al. (Fri,) studied this question.
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