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Articles Published Processes
7/6/2021 9:59:54 AM | Browse: 607 | Download: 1206
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Received |
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2021-06-02 02:10 |
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Peer-Review Started |
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2021-06-02 02:13 |
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To Make the First Decision |
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Return for Revision |
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2021-06-18 05:40 |
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Revised |
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2021-06-20 20:07 |
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Second Decision |
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2021-06-28 12:34 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-06-28 12:58 |
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Articles in Press |
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2021-06-28 12:58 |
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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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2021-07-02 07:59 |
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Publish the Manuscript Online |
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2021-07-06 09:59 |
| ISSN |
2689-7164 (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) 2021. 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 |
Utility of artificial intelligence in colonoscopy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Niel Shah, Abhilasha Jyala, Harish Patel and Jasbir Makker |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Harish Patel, MD, Attending Doctor, Department of Internal Medicine, Gastroenterology, BronxCare Hospital Center, 1650 Grand Concourse , Bronx, NY 10457, United States. hpatel@bronxcare.org |
| Key Words |
Artificial intelligence; Colonoscopy; Colorectal cancer; Inflammatory bowel disease; Adenoma detection rate; Adenoma |
| Core Tip |
Artificial intelligence (AI) pertains to performance of intelligent tasks like human beings by computer-controlled machines. Machine learning, one of the most important and fundamental principles of AI, essentially means automatically using the available data to learn and make decisions without human intervention. AI based detection models have been developed for polyp detection and to differentiate malignant from nonmalignant lesions. It has been also utilized to analyze endoscopic images for inflammatory bowel disease diagnosis, grading its severity and predicting treatment response. |
| Publish Date |
2021-07-06 09:59 |
| Citation |
Shah N, Jyala A, Patel H, Makker J. Utility of artificial intelligence in colonoscopy. Artif Intell Gastrointest Endosc 2021; 2(3): 79-88 |
| URL |
https://www.wjgnet.com/2689-7164/full/v2/i3/79.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v2.i3.79 |
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