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Articles Published Processes
12/1/2020 11:37:49 AM | Browse: 872 | Download: 1382
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Received |
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2020-09-19 11:41 |
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Peer-Review Started |
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2020-09-19 11:41 |
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To Make the First Decision |
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Return for Revision |
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2020-10-18 07:48 |
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Revised |
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2020-10-28 08:56 |
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Second Decision |
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2020-11-10 12:36 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-11-12 21:33 |
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Articles in Press |
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2020-11-12 21:33 |
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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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2020-12-01 07:57 |
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Publish the Manuscript Online |
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2020-12-01 11:37 |
ISSN |
2644-3236 (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 |
Minireviews |
Article Title |
Artificial intelligence in gastrointestinal cancer: Recent advances and future perspectives
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Manuscript Source |
Invited Manuscript |
All Author List |
Michihiro Kudou, Toshiyuki Kosuga and Eigo Otsuji |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Toshiyuki Kosuga, MD, PhD, Assistant Professor, Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Division of Digestive Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, 465 Kawaramachi-hirokoji,Kamigyo-ku, Kyoto 602-8566, Japan. Electronic address: toti-k@koto.kpu-m.ac.jp., Kyoto 602-8566, Japan. toti-k@koto.kpu-m.ac.jp |
Key Words |
Artificial intelligence; Gastric cancer; Colorectal cancer; Endoscopy; Pathology; Radiology |
Core Tip |
Artificial intelligence (AI) is attracting increasing attention because of its more accurate image recognition ability and prediction performance than human-aid analyses. The application of AI models to gastrointestinal clinical oncology has been investigated, and the findings obtained indicate its capacity for automatic diagnoses with similar accuracy to expert clinicians and the prediction of malignant potential. However, limitations in the evaluation of gastrointestinal tumors by current AI models have yet to be resolved. The limitations of and future perspectives for the application of AI-assisted systems to clinical settings have been discussed herein. |
Publish Date |
2020-12-01 11:37 |
Citation |
Kudou M, Kosuga T, Otsuji E. Artificial intelligence in gastrointestinal cancer: Recent advances and future perspectives. Artif Intell Gastroenterol 2020; 1(4): 71-85 |
URL |
https://www.wjgnet.com/2644-3236/full/v1/i4/71.htm |
DOI |
https://dx.doi.org/10.35712/aig.v1.i4.71 |
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