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Articles Published Processes
11/27/2020 9:27:48 AM | Browse: 550 | Download: 1095
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Received |
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2020-07-06 11:16 |
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Peer-Review Started |
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2020-07-06 11:17 |
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To Make the First Decision |
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Return for Revision |
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2020-10-18 13:32 |
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Revised |
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2020-10-28 11:35 |
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Second Decision |
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2020-11-04 10:06 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2020-11-09 00:59 |
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Articles in Press |
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2020-11-09 00:59 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2020-11-25 11:06 |
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Publish the Manuscript Online |
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2020-11-27 09:27 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Basic Study |
| Article Title |
Artificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sang-Ho Park, Hee-Min Park, Kwang-Ryul Baek, Hong-Min Ahn, In Young Lee and Gyung Mo Son |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Gyung Mo Son, FACS, MD, PhD, Assistant Professor, Doctor, Department of Surgery, Pusan National University Yangsan Hospital and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 20, Geumo-ro, Mulgeum-eup, Yangsan-si 50612, South Korea. skm1711@pusan.ac.kr |
| Key Words |
Indocyanine green; Laparoscopic; Artificial intelligent; Anastomotic complications; Colorectal surgery; Microcirculation analysis |
| Core Tip |
This study provides an artificial intelligence-based analysis method in indocyanine green (ICG) angiography to predict anastomotic complications after laparoscopic colonic surgery. Using a self-organizing map network, ICG curves were classified and machine learned into 25 patterns, and real-time microcirculation analysis can be performed during surgery by the blood flow of each pattern calculated in advance. Such real-time analysis of perfusion during surgery may reduce the probability of post-laparoscopic colorectal anastomotic complications. This study additionally requires clinical trials. |
| Publish Date |
2020-11-27 09:27 |
| Citation |
Park SH, Park HM, Baek KR, Ahn HM, Lee IY, Son GM. Artificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery. World J Gastroenterol 2020; 26(44): 6945-6962 |
| URL |
https://www.wjgnet.com/1007-9327/full/v26/i44/6945.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v26.i44.6945 |
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