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Assessment of Surgical Expertise in Virtual Reality Simulation by Hybrid Deep Neural Network Algorithms
Bekir Karlik, Recai Yilmaz, Alexander Winkler-Schwartz, Nykan Mirchi, Vincent Bissonnette, Nicole Ledwos, Rolando Del Maestro
Pages - 47 - 59     |    Revised - 30-11-2021     |    Published - 31-12-2021
Volume - 10   Issue - 3    |    Publication Date - December 2021  Table of Contents
Virtual Reality, Hybrid Deep Neural Network, FCNN
The utilization of simulation in surgical resident assessment and training allows quantitation of technical skills in risk-free environments. This transformation of current training paradigms which involve the development and application of high-fidelity virtual reality simulators may play an important role in future surgical educational curricula. With the implementation of artificial intelligence (AI) virtual reality simulators have the potential to advance the understanding, training and assessment of psychomotor performance of surgical expertise. In this study, we apply four hybrid deep neural network algorithms called Fuzzy Clustering Neural Networks (FCNN-1, FCNN-2, FCNN-3, and FCNN-4). The proposed study consists of four hybrid deep neural networks methods called Fuzzy Clustering Neural Network (FCNN) were employed to differentiate surgical expertise. Raw data was obtained from virtual reality tumor resection studies utilizing the NeuroVR simulator platform. The performance of neurosurgeons, senior residents, junior residents and medical students was assessed using a series of metrics. For two proposed algorithms (FCNN-3 and FCNN-4), we achieved a further improvement in classification accuracy of 100% correctly classifying the level of expertise of all participants. The other 2 models were also better accuracies than previous studies. The results demonstrate that the four hybrid FCNN algorithms utilized have increased the accuracy of classification compared to previous studies utilizing the same dataset.
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Professor Bekir Karlik
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, McGill University, Montreal, QC - Canada
Dr. Recai Yilmaz
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, McGill University, Montreal, QC - Canada
Dr. Alexander Winkler-Schwartz
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, McGill University, Montreal, QC - Canada
Dr. Nykan Mirchi
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, McGill University, Montreal, QC - Canada
Dr. Vincent Bissonnette
Division of Orthopaedic Surgery, Montreal General Hospital, McGill University, 1650 Cedar Avenue, Montreal, Quebec, Canada. H3G 1A4 - Canada
Dr. Nicole Ledwos
Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, McGill University, Montreal, QC - Canada
Professor Rolando Del Maestro
McGill University - Canada