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Articles Published Processes
10/16/2018 12:55:03 PM | Browse: 1146 | Download: 1650
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Received |
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2018-05-10 00:08 |
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Peer-Review Started |
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2018-05-10 04:43 |
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To Make the First Decision |
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2018-06-06 08:19 |
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Return for Revision |
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2018-06-08 00:51 |
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Revised |
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2018-06-09 18:57 |
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Second Decision |
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2018-06-29 14:59 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2018-06-30 22:36 |
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Articles in Press |
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2018-06-30 22:36 |
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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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2018-10-09 09:28 |
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Publish the Manuscript Online |
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2018-10-16 12:55 |
| ISSN |
1948-5190 (online) |
| Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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) 2018. 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 |
Review |
| Article Title |
Artificial intelligence in gastrointestinal endoscopy: The future is almost here
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Muthuraman Alagappan, Jeremy R Glissen Brown, Yuichi Mori and Tyler M Berzin |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Tyler M Berzin, MD, Assistant Professor, Doctor, Doctor, Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical, 330 Brookline Avenue, Boston, MA 02215, United States. tberzin@bidmc.harvard.edu |
| Key Words |
Artificial intelligence; Machine learning; Gastrointestinal endoscopy; Computer-assisted decision making; Computer-aided detection; Colonic polyps; Colonoscopy; Computer-aided diagnosis; Colorectal adenocarcinoma |
| Core Tip |
Artificial intelligence (AI) appears poised to transform several industries, including clinical medicine. Recent advances in AI technology, namely the improvement in computational power and advent of deep learning, will lead to the near-term availability of clinically relevant applications in gastrointestinal endoscopy, such as real-time, high-accuracy colon polyp detection and classification and fast, automatic processing of wireless capsule endoscopy images. Applications of AI toward gastrointestinal endoscopy will likely exponentially rise in the coming years, and attention should be paid toward regulation, approval, and effective implementation of this powerful technology. |
| Publish Date |
2018-10-16 12:55 |
| Citation |
Alagappan M, Glissen Brown JR, Mori Y, Berzin TM. Artificial intelligence in gastrointestinal endoscopy: The future is almost here. World J Gastrointest Endosc 2018; 10(10): 239-249 |
| URL |
http://www.wjgnet.com/1948-5190/full/v10/i10/239.htm |
| DOI |
http://dx.doi.org/10.4253/wjge.v10.i10.239 |
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