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Articles Published Processes
6/14/2024 9:22:25 AM | Browse: 180 | Download: 734
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Received |
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2024-02-28 01:35 |
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Peer-Review Started |
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2024-02-28 01:35 |
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First Decision by Editorial Office Director |
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2024-04-08 20:25 |
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Return for Revision |
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2024-04-08 20:25 |
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Revised |
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2024-04-16 21:44 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-04-28 02:37 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-04-28 08:17 |
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Articles in Press |
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2024-04-28 08:17 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-05-23 06:21 |
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Publish the Manuscript Online |
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2024-06-14 09:22 |
| ISSN |
1948-5190 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. 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 |
Retrospective Study |
| Article Title |
Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Kenneth W Chow, Matthew T Bell, Nicholas Cumpian, Maryanne Amour, Ryan H Hsu, Viktor E Eysselein, Neetika Srivastava, Michael W Fleischman and Sofiya Reicher |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Kenneth W Chow, MD, Doctor, Doctor, Researcher, Department of Medicine, Harbor-UCLA Medical Center, 1000 W Carson Street
, Torrance, CA 90502, United States. kwchow555@gmail.com |
| Key Words |
Artificial intelligence; Colonoscopy; Adenoma detection rate; Screening; Colorectal adenoma |
| Core Tip |
This study analyzed the long-term impact of artificial intelligence (AI)-assisted colonoscopy in a diverse at-risk patient population undergoing diagnostic colonoscopy for positive colorectal cancer (CRC) screening tests or symptoms. It was found that in patients with an increased pre-test probability of having an abnormal colonoscopy, the current generation of AI did not yield enhanced screening metrics over high-quality colonoscopy. Future studies that analyze different AI systems across various patient populations are needed to determine the most effective role of AI in optimizing CRC screening in clinical practice. |
| Publish Date |
2024-06-14 09:22 |
| Citation |
Chow KW, Bell MT, Cumpian N, Amour M, Hsu RH, Eysselein VE, Srivastava N, Fleischman MW, Reicher S. Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy. World J Gastrointest Endosc 2024; 16(6): 335-342 |
| URL |
https://www.wjgnet.com/1948-5190/full/v16/i6/335.htm |
| DOI |
https://dx.doi.org/10.4253/wjge.v16.i6.335 |
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