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Automatic Assessment of Surgical Performance Using Intraoperative Video and Deep Learning: A Comparison with Expert Surgeon Video Review
0
Zitationen
16
Autoren
2022
Jahr
Abstract
Introduction: Intraoperative video contains sufficient information for experts to assess surgeon skill and provide feedback, but expert evaluation is rarely available. Deep neural networks (DNN) capable of interpreting video can provide rich feedback, but often require prodigious amounts of training data. The ability of a deep neural network to predict the outcome of an attempt at surgical hemostasis and accurately quantify blood loss has never been compared with that of expert skull base surgeons.
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