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Articles Published Processes
9/4/2026 2:12:31 AM | Browse: 2 | Download: 0
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Received |
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2026-01-04 03:49 |
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Peer-Review Started |
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2026-01-04 12:51 |
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First Decision by Editorial Office Director |
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2026-01-16 06:51 |
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Return for Revision |
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2026-01-16 06:51 |
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Revised |
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2026-01-28 10:34 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-06 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-06 04:05 |
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Articles in Press |
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2026-03-06 04:05 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-09-03 00:16 |
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Publish the Manuscript Online |
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2026-09-04 02:12 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Artificial intelligence for inflammatory bowel disease dysplasia detection: Current evidence and future directions
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ritesh Bhandari, Jack Gartlan, Philip Oppong and Puneet Chhabra |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Puneet Chhabra, DM, FASGE, FRACP, MD, MRCP, Gastroenterology, Royal Hobart Hospital, Royal Hobart Hospital, 48 Liverpool Street Hobart
7000
Tasmania, Hobart 7000, Tasmania, Australia. puneet.pgi@gmail.com |
| Key Words |
Artificial intelligence; Inflammatory bowel disease; Dysplasia detection; Colorectal cancer prevention; Dataset shift; Bias in artificial intelligence; Validation; Generalizability; Multicenter studies; Consensus labelling; Multimodal artificial intelligence |
| Core Tip |
Dataset shift impairs non-inflammatory bowel disease (IBD) trained artificial intelligence’s (AI) ability in IBD dysplasia detection as they falter in inflamed colons and therefore IBD-specific models need to be developed. However, even with the IBD-trained models, various biases (selection, annotation, device) are seen which are amplified by training-deployment mismatches and affects generalizability as evident in external validation. This review compares performances, dissects these failures, and suggests a roadmap: Multicenter datasets, consensus labelling, federated learning, and multimodal models, bolstered by regulatory oversight and clinical workflows. Such integrated steps will help to generate equitable, reliable AI to enhance surveillance and avert colorectal cancer in IBD. |
| Publish Date |
2026-09-04 02:12 |
| Citation |
Bhandari R, Gartlan J, Oppong P, Chhabra P. Artificial intelligence for inflammatory bowel disease dysplasia detection: Current evidence and future directions. Artif Intell Gastrointest Endosc 2026; 7(2): 118493
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| URL |
https://www.wjgnet.com/2689-7164/full/v7/i2/118493.htm |
| DOI |
https://doi.org/10.37126/aige.118493 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
