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Articles Published Processes
3/3/2026 2:36:08 AM | Browse: 0 | Download: 0
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Received |
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2025-09-19 08:16 |
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Peer-Review Started |
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2025-09-19 08:16 |
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First Decision by Editorial Office Director |
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2025-10-27 09:23 |
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Return for Revision |
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2025-10-27 09:23 |
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Revised |
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2025-11-10 03:07 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-12-10 02:44 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-12-10 06:54 |
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Articles in Press |
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2025-12-10 06:54 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-02-25 00:26 |
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Publish the Manuscript Online |
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2026-03-03 02:36 |
| 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 |
© The Author(s) 2025. 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 |
Artificial intelligence in upper gastrointestinal bleeding: Can machine learning predict endotherapy requirements?
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| Manuscript Source |
Invited Manuscript |
| All Author List |
S Rakesh Kumar, Manas Kumar Panigrahi and Prakash Kumar Sasmal |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Prakash Kumar Sasmal, FACS, Full Professor, Postdoctoral Fellow, Professor, Department of Surgery, All India Institute of Medical Sciences, Sijua, Bhubaneshwar 751019, Odisha, India. surg_prakash@aiimsbhubaneswar.edu.in |
| Key Words |
Upper gastrointestinal bleed; Artificial intelligence; Machine learning; Gastrointestinal bleed complications; Artificial intelligence predictions; Artificial intelligence in endoscopy; Machine learning in endoscopy |
| Core Tip |
There are validated risk assessment scores which are being conventionally used to predict the need for endotherapy and complications in patients with acute upper gastrointestinal bleed (AUGIB). However, those have many limitations which restrict their use effectively and in a timely manner in the real world. In this era of artificial intelligence, these predictive scores can be complemented and/or replaced by machine learning analysis of clinical and laboratory data in conjunction with endoscopy images to diagnose and treat AUGIB patients accurately. In recent years, new evidence has been coming in support of this, and future research is still ongoing. In this mini-review, the use of artificial intelligence in AUGIB is briefly discussed with emphasis on current evidence, its clinical application and future directions. |
| Publish Date |
2026-03-03 02:36 |
| Citation |
Kumar SR, Panigrahi MK, Sasmal PK. Artificial intelligence in upper gastrointestinal bleeding: Can machine learning predict endotherapy requirements? Artif Intell Gastrointest Endosc 2026; 7(1): 114426 |
| URL |
https://www.wjgnet.com/2689-7164/full/v7/i1/114426.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v7.i1.114426 |
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