Automatic performance assessment in Virtual Reality medical simulators: A model based on procedure trajectories and machine learning-Reference-Cited by-同舟云学术

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Automatic performance assessment in Virtual Reality medical simulators: A model based on procedure trajectories and machine learning

Published:2024-03 Issue: Volume:238 Page:122201
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Sallaberry Lucas H.^ORCID,Tori Romero^ORCID,Nunes Fátima L.S.^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Ulsan National Institute of Science and Technology

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Instituto Nacional de Ciência e Tecnologia em Medicina Assistida por Computação Científica

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

1. Training safer orthopedic surgeons: construct validation of a virtual-reality simulator for hip fracture surgery;Akhtar;Acta Orthopaedica,2015

2. Utilizing a multilayer perceptron artificial neural network to assess a virtual reality surgical procedure;Alkadri;Computers in Biology and Medicine,2021

3. Maya, Autodesk Maya;Autodesk,2022

4. The force pyramid: A spatial analysis of force application during virtual reality brain tumor resection;Azarnoush;Journal of Neurosurgery,2017

5. Balancing training data for automated annotation of keywords: A case study;Batista,2003

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