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12/1/2020 11:39:36 AM | Browse: 497 | Download: 620
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 59601
Country Japan
Received
2020-09-19 11:41
Peer-Review Started
2020-09-19 11:41
To Make the First Decision
Return for Revision
2020-10-18 07:48
Revised
2020-10-28 08:56
Second Decision
2020-11-10 12:36
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-11-12 21:33
Articles in Press
2020-11-12 21:33
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-12-01 07:57
Publish the Manuscript Online
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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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
Manuscript Source Invited Manuscript
All Author List Michihiro Kudou, Toshiyuki Kosuga and Eigo Otsuji
Funding Agency and Grant Number
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
Full Article (PDF) AIG-1-71.pdf
Full Article (Word) AIG-1-71.docx
Manuscript File 59601_Auto_Edited.docx
Answering Reviewers 59601-Answering reviewers.pdf
Audio Core Tip 59601-Audio core tip.wav
Conflict-of-Interest Disclosure Form 59601-Conflict-of-interest statement.pdf
Copyright License Agreement 59601-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 59601-Language certificate.pdf
Peer-review Report 59601-Peer-review(s).pdf
Scientific Misconduct Check 59601-Scientific misconduct check.pdf
Scientific Editor Work List 59601-Scientific editor work list.pdf