Why the study?
Do machine learning algorithms and automated performance metrics help assess surgical performance and predict clinical outcomes in robot-assisted radical prostatectomy?
Population
Patients undergoing Robot-Assisted Radical Prostatectomy (RARP)
Design
Other
Authors
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May inform RARP assessment tools; hypothesis-generating and requires prospective validation before practice change.
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.
Hung et al. (2018) studied this question.
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