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Paper Abstract and Keywords
Presentation 2022-01-25 15:09
Building of surgical support environment by surgical support analysis via high-speed network in brain tumor surgery
Asahi Nakamura, Ikuma Sato (FUN), Manabu Tamura, Tomoko Yamaguchi, Kaori Kusuda, Kitaro Yoshimitsu, Yoshihiro Muragaki, Ken Masamune (TWMU), Yuichi Fujino (FUN) MI2021-45
Abstract (in Japanese) (See Japanese page) 
(in English) Brain tumor surgery requires a high level of judgment based on knowledge and experience by the primary surgeon. SCOT, a smart treatment room, can acquire data from many medical devices in a time-synchronized manner and provide support to the primary surgeon from a strategy desk outside the operating room. However, it is difficult for junior doctors and staff to understand and predict the advanced decisions made by the primary surgeon. On the other hand, there is no platform that can store information in surgery and make it available to research institutions. In this study, we aim to build a platform that can share and analyze the information obtained from SCOT using a high-speed communication network, and to implement a function of surgical analysis for brain tumor surgery using this platform.
Keyword (in Japanese) (See Japanese page) 
(in English) Surgical process identification / JGN / Brain tumor / Awake surgery / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 347, MI2021-45, pp. 10-13, Jan. 2022.
Paper # MI2021-45 
Date of Issue 2022-01-18 (MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MI2021-45

Conference Information
Committee MI  
Conference Date 2022-01-25 - 2022-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2022-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Building of surgical support environment by surgical support analysis via high-speed network in brain tumor surgery 
Sub Title (in English)  
Keyword(1) Surgical process identification  
Keyword(2) JGN  
Keyword(3) Brain tumor  
Keyword(4) Awake surgery  
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Keyword(6)  
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1st Author's Name Asahi Nakamura  
1st Author's Affiliation Future University Hakodate (FUN)
2nd Author's Name Ikuma Sato  
2nd Author's Affiliation Future University Hakodate (FUN)
3rd Author's Name Manabu Tamura  
3rd Author's Affiliation Tokyo Women's Medical University (TWMU)
4th Author's Name Tomoko Yamaguchi  
4th Author's Affiliation Tokyo Women's Medical University (TWMU)
5th Author's Name Kaori Kusuda  
5th Author's Affiliation Tokyo Women's Medical University (TWMU)
6th Author's Name Kitaro Yoshimitsu  
6th Author's Affiliation Tokyo Women's Medical University (TWMU)
7th Author's Name Yoshihiro Muragaki  
7th Author's Affiliation Tokyo Women's Medical University (TWMU)
8th Author's Name Ken Masamune  
8th Author's Affiliation Tokyo Women's Medical University (TWMU)
9th Author's Name Yuichi Fujino  
9th Author's Affiliation Future University Hakodate (FUN)
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Speaker Author-1 
Date Time 2022-01-25 15:09:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2021-45 
Volume (vol) vol.121 
Number (no) no.347 
Page pp.10-13 
#Pages
Date of Issue 2022-01-18 (MI) 


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