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5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models
This is a pilot study to assess the utility of applying 5G-assisted remote guidance in laparoscopic simulation training. A single trainee of a junior surgeon was recruited to complete three steps of tasks including basic task 1, basic task 2, and model task, and the performance was recorded and eval...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589780/ https://www.ncbi.nlm.nih.gov/pubmed/36311468 http://dx.doi.org/10.1007/s12262-022-03590-2 |
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author | Wang, Weier Wang, Zhifei Gong, Haibo Jin, Liming Wei, Fangqiang |
author_facet | Wang, Weier Wang, Zhifei Gong, Haibo Jin, Liming Wei, Fangqiang |
author_sort | Wang, Weier |
collection | PubMed |
description | This is a pilot study to assess the utility of applying 5G-assisted remote guidance in laparoscopic simulation training. A single trainee of a junior surgeon was recruited to complete three steps of tasks including basic task 1, basic task 2, and model task, and the performance was recorded and evaluated. The operator completed each task three times. Except for basic task 1, all tasks were remotely guided by a more experienced surgeon using 5G technology. Tasks completion time and a 30-point objective structured assessment of technical skills (OSATS) score were utilized to assess the results of simulation training. All remote guidance processes were successfully completed without significant network latency. Through basic task 1, the operator quickly became familiar with the trained laparoscopic instruments. For basic task 2, OSATS scores increased from 16 to 24 points, and completion time decreased from 1500 to 986 s after training under 5G-assisted remote guidance. For model tasks, OSATS scores increased from 15 to 26 points, and completion time decreased from 1734 to 1142 s. This is a novel mode of laparoscopic simulation training to increase the convenience of training. Perhaps in the near future, surgeons can simulate difficult operations at home or in the office, and accurately grasp the possible situations that may occur in actual operations in advance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12262-022-03590-2. |
format | Online Article Text |
id | pubmed-9589780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-95897802022-10-24 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models Wang, Weier Wang, Zhifei Gong, Haibo Jin, Liming Wei, Fangqiang Indian J Surg Original Article This is a pilot study to assess the utility of applying 5G-assisted remote guidance in laparoscopic simulation training. A single trainee of a junior surgeon was recruited to complete three steps of tasks including basic task 1, basic task 2, and model task, and the performance was recorded and evaluated. The operator completed each task three times. Except for basic task 1, all tasks were remotely guided by a more experienced surgeon using 5G technology. Tasks completion time and a 30-point objective structured assessment of technical skills (OSATS) score were utilized to assess the results of simulation training. All remote guidance processes were successfully completed without significant network latency. Through basic task 1, the operator quickly became familiar with the trained laparoscopic instruments. For basic task 2, OSATS scores increased from 16 to 24 points, and completion time decreased from 1500 to 986 s after training under 5G-assisted remote guidance. For model tasks, OSATS scores increased from 15 to 26 points, and completion time decreased from 1734 to 1142 s. This is a novel mode of laparoscopic simulation training to increase the convenience of training. Perhaps in the near future, surgeons can simulate difficult operations at home or in the office, and accurately grasp the possible situations that may occur in actual operations in advance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12262-022-03590-2. Springer India 2022-10-24 /pmc/articles/PMC9589780/ /pubmed/36311468 http://dx.doi.org/10.1007/s12262-022-03590-2 Text en © Association of Surgeons of India 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Wang, Weier Wang, Zhifei Gong, Haibo Jin, Liming Wei, Fangqiang 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models |
title | 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models |
title_full | 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models |
title_fullStr | 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models |
title_full_unstemmed | 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models |
title_short | 5G-Assisted Remote Guidance in Laparoscopic Simulation Training Based on 3D Printed Dry Lab Models |
title_sort | 5g-assisted remote guidance in laparoscopic simulation training based on 3d printed dry lab models |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589780/ https://www.ncbi.nlm.nih.gov/pubmed/36311468 http://dx.doi.org/10.1007/s12262-022-03590-2 |
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