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10/21/2020 3:46:46 PM | Browse: 347 | Download: 500
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Received |
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2020-07-27 14:37 |
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Peer-Review Started |
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2020-07-16 17:23 |
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To Make the First Decision |
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Return for Revision |
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2020-08-08 16:15 |
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Revised |
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2020-08-18 14:04 |
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Second Decision |
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2020-09-22 07:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2020-09-22 20:33 |
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Articles in Press |
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2020-09-22 20:33 |
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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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2020-10-20 11:56 |
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Publish the Manuscript Online |
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2020-10-21 15:38 |
| 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 |
Opinion Review |
| Article Title |
Use of artificial intelligence in improving adenoma detection rate during colonoscopy: Might both endoscopists and pathologists be further helped
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Emanuele Sinagra, Matteo Badalamenti, Marcello Maida, Marco Spadaccini, Roberta Maselli, Francesca Rossi, Giuseppe Conoscenti, Dario Raimondo, Socrate Pallio, Alessandro Repici and Andrea Anderloni |
| Funding Agency and Grant Number |
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| Corresponding Author |
Emanuele Sinagra, MD, PhD, Senior Researcher, Gastroenterology and Endoscopy Unit, Fondazione Istituto San Raffaele Giglio, Contrada Pietra Pollastra Pisciotto, Cefalù 90015, Italy. emanuelesinagra83@googlemail.com |
| Key Words |
Colonoscopy; Artificial intelligence; Adenoma detection rate; Pathology; Endoscopy; Computer-aided detection and diagnosis |
| Core Tip |
Artificial intelligence is an emerging technology which application is rapidly increasingin numerous medical fields. The several applications of artificial intelligence in gastroenterology are showing promising results, especially in the setting of gastrointestinal oncology. Among these, the techniques able to increase the Adenoma detection rate will play a key role in reducing the colorectal cancer incidence and its related mortality caused by undetected or missclassified interval cancers. Furthermore, a significant reduction in costs is also expected. In addition the assistance of the Computer-aided detection and diagnosis systems will lead to a reduction of the examination time and therefore an optimization of the endoscopic schedule. |
| Publish Date |
2020-10-21 15:38 |
| Citation |
Sinagra E, Badalamenti M, Maida M, Spadaccini M, Maselli R, Rossi F, Conoscenti G, Raimondo D, Pallio S, Repici A, Anderloni A. Use of artificial intelligence in improving adenoma detection rate during colonoscopy: Might both endoscopists and pathologists be further helped. World J Gastroenterol 2020; 26(39): 5911-5918 |
| URL |
https://www.wjgnet.com/1007-9327/full/v26/i39/5911.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v26.i39.5911 |
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