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Articles Published Processes
10/27/2025 8:08:12 AM | Browse: 43 | Download: 50
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Received |
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2025-07-01 09:19 |
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Peer-Review Started |
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2025-07-01 09:19 |
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To Make the First Decision |
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Return for Revision |
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2025-07-28 09:01 |
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Revised |
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2025-08-09 14:40 |
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Second Decision |
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2025-09-18 02:42 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-09-18 03:29 |
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Articles in Press |
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2025-09-18 03:29 |
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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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2025-10-21 01:48 |
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Publish the Manuscript Online |
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2025-10-27 08:08 |
| 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: 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 |
Review |
| Article Title |
Artificial intelligence in colonoscopy: Enhancing quality indicators for optimal patient outcomes
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Konstantina Dimopoulou, Marianna Spinou, Alexandros Ioannou, Eleni Nakou, Petros Zormpas and George Tribonias |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Konstantina Dimopoulou, Consultant, MD, PhD, Department of Gastroenterology, Red Cross Hospital, 1, Athanasaki str, Athens 11526, Greece. conu_med@hotmail.com |
| Key Words |
Artificial intelligence; Colonoscopy; Outcome; Quality indicators; Detection rates |
| Core Tip |
Artificial intelligence (AI) has emerged as a breakthrough innovation in modern colonoscopy, offering significant improvements in key quality indicators, including adenoma detection rate, polyp detection rate, adenoma miss rate, bowel preparation assessment, withdrawal time, and cecal intubation recognition. By optimizing lesion characterization, supporting optical diagnosis and assisting in invasion depth prediction, AI may lead to early diagnosis and prevention of colorectal cancer. This review summarizes the current evidence on the application of AI in key colonoscopy quality indicators, highlighting its role in standardizing practice, improving patient outcomes, and advancing personalized care while also addressing the challenges of training, cost-effectiveness, and ethical considerations. |
| Publish Date |
2025-10-27 08:08 |
| Citation |
<p>Dimopoulou K, Spinou M, Ioannou A, Nakou E, Zormpas P, Tribonias G. Artificial intelligence in colonoscopy: Enhancing quality indicators for optimal patient outcomes. <i>World J Gastroenterol</i> 2025; 31(40): 111499</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i40/111499.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i40.111499 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
