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Articles in Press
8/31/2026 9:02:45 AM | Browse: 8 | Download: 0
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence in digestive diseases: Current evidence and clinical perspectives
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Mehmet Ali Kosekli and Gulali Aktas |
| Funding Agency and Grant Number |
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| Corresponding Author |
Mehmet Ali Kosekli, Associate Professor, MD, Department of Internal Medicine, Division of Gastroenterology, Bolu Abant Izzet Baysal University Hospital, Golkoy, Bolu 14280, Türkiye. kosekli@gmail.com |
| Key Words |
Artificial intelligence; Gastrointestinal endoscopy; Liver disease; Pancreatic disorders; Inflammatory bowel disease |
| Core Tip |
Artificial intelligence (AI) is widely used in gastroenterology. AI based models have shown promise in non-invasive fibrosis assessment, early detection of hepatocellular carcinoma, prediction of disease severity in pancreatitis and polyp detection during endoscopy. Yet, these advances have not addressed issues of data quality, algorithm generalizability, interpretability, and clinical integration. In this paper, some recent literature that concerns the use of AI in gastrointestinal endoscopy was reviewed. |
| Citation |
Kosekli MA, Aktas G. Artificial intelligence in digestive diseases: Current evidence and clinical perspectives. Artif Intell Gastroenterol 2026; In press
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| PDF |
125889-in-press.pdf
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Received |
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2026-07-20 09:16 |
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Peer-Review Started |
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2026-07-20 09:16 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-08-11 10:37 |
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Revised |
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2026-08-11 14:57 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-08-31 03:15 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-08-31 09:02 |
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Articles in Press |
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2026-08-31 09:02 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
2644-3236 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
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.
