On the Use of Muscle Activation Patterns and Artificial Intelligence Methods for the Assessment of the Surgical Skills of Clinicians-Reference-Cited by-同舟云学术

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On the Use of Muscle Activation Patterns and Artificial Intelligence Methods for the Assessment of the Surgical Skills of Clinicians

Published:2023-11-15 Issue: Volume:369 Page:116
ISSN:
Container-title:The 10th International Electronic Conference on Sensors and Applications
language:
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Author:

Nsugbe Ejay¹,Buruno Halin²,Connelly Stephanie³,Samuel Oluwarotimi Williams⁴,Obajemu Olusayo⁵

Affiliation:

1. Nsugbe Research Labs, Swindon SN1 3LG, UK

2. Medic Minds, Limerick University, V94 T9PX Limerick, Ireland

3. Hereford County Hospital, Wye Valley NHS Trust, Hereford HR1 2ER, UK

4. School of Computing and Engineering, University of Derby, Derby DE22 1GB, UK

5. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S10 2TN, UK

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/58/1/116/pdf

Reference17 articles.

1. Surgical Skill and Complication Rates after Bariatric Surgery;Birkmeyer;N. Engl. J. Med.,2013

2. Graduating General Surgery Resident Operative Confidence: Perspective from a National Survey;Fonseca;J. Surg. Res.,2014

3. Soangra, R., Sivakumar, R., Anirudh, E.R., Reddy Y, S.V., and John, E.B. (2022). Evaluation of Surgical Skill Using Machine Learning with Optimal Wearable Sensor Locations. PLoS ONE, 17.

4. Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-López, C., and Fichtinger, G. (2018, January 16–20). Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks. Proceedings of the Medical Image Computing and Computer Assisted Intervention–MICCAI 2018, Granada, Spain.

5. Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review;Yanik;J. Def. Model. Simul.,2022

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