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Articles in Press
9/21/2026 9:48:11 AM | Browse: 2 | Download: 0
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Role of artificial intelligence in endoscopic ultrasound: A narrative review
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Kartik Mehta, Eashan Aneja, Ravi Teja Reddy, Supraja L Mohan, Aarushi Ahuja, Suvrankar Datta, Venkatesh Vaithiyam and Sanjeev Sachdeva |
| Funding Agency and Grant Number |
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| Corresponding Author |
Venkatesh Vaithiyam, Assistant Professor, DM, MD, Department of Gastroenterology, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research, Department of Gastroenterology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 110002, Delhi, India. venkateshvaithiyam172@gmail.com |
| Key Words |
Artificial intelligence; Endoscopic ultrasound; Pancreatic mass; Lymph node; Subepithelial lesions |
| Core Tip |
Artificial intelligence (AI) is emerging as a transformative adjunct to endoscopic ultrasound (EUS), with promising applications for assessing pancreatic solid and cystic lesions, gastrointestinal subepithelial lesions, and lymph nodes, as well as for EUS-guided tissue acquisition. Contemporary deep learning models exhibit high diagnostic accuracy and have the potential to reduce interobserver variability, enhance lesion characterization, enable rapid digital on-site cytopathologic evaluation, and improve procedural efficiency. AI should currently be regarded as an assistive tool, and future multicenter prospective studies, standardized reporting, and seamless clinical integration are essential for the widespread adoption of this approach. |
| Citation |
Mehta K, Aneja E, Reddy RT, Mohan SL, Ahuja A, Datta S, Vaithiyam V, Sachdeva S. Role of artificial intelligence in endoscopic ultrasound: A narrative review. Artif Intell Gastrointest Endosc 2026; In press
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Received |
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2026-07-01 06:00 |
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Peer-Review Started |
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2026-07-01 06:01 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-08-04 08:25 |
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Revised |
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2026-08-18 03:25 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-09-21 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-09-21 09:48 |
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Articles in Press |
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2026-09-21 09:48 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
2689-7164 (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.
