Personalized assessment and training of neurosurgical skills in virtual reality: An interpretable machine learning approach

Personalized assessment and training of neurosurgical skills in virtual reality: An interpretable machine learning approach

Background: Virtual reality technology has been widely used in surgical simulators, providing new opportunities for assessing and training surgical skills. Machine learning algorithms are commonly used to analyze and evaluate the performance of participants. However, their interpretability limits th...

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Bibliographic Details
Main Authors: Fei Li, Zhibao Qin, Kai Qian, Shaojun Liang, Chengli Li, Yonghang Tai
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-02-01
Series:Virtual Reality & Intelligent Hardware
Subjects:
Machine learning
Neurosurgery
Shapley values
Virtual reality
Human-robot interaction
Online Access:http://www.sciencedirect.com/science/article/pii/S2096579623000451

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http://www.sciencedirect.com/science/article/pii/S2096579623000451

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