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Articles Published Processes
7/29/2026 2:24:20 AM | Browse: 0 | Download: 0
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Received |
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2026-05-27 06:15 |
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Peer-Review Started |
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2026-05-27 06:15 |
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First Decision by Editorial Office Director |
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2026-06-10 01:34 |
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Return for Revision |
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2026-06-10 01:34 |
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Revised |
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2026-06-20 14:24 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-07-07 02:57 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-07-07 06:21 |
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Articles in Press |
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2026-07-07 06:21 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-07-23 00:46 |
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Publish the Manuscript Online |
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2026-07-29 02:24 |
| ISSN |
2220-6132 (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. |
| 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 endoscopic ultrasound-guided biliary drainage: Emerging applications, technical challenges, and future directions
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ahmed Salman, Ahmed Elewa, Ahmad Marwan and Mohamed AbdAlla Salman |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Ahmed Salman, Associate Professor, FRACP, FRCP, MRCP, Internal Medicine, Kasr Alainy School of Medicine, 1 Al-Saray Street, Al-Manial, Cairo 43544, Al Qāhirah, Egypt. awea844@gmail.com |
| Key Words |
Artificial intelligence; Endoscopic ultrasound; Endoscopic ultrasound-guided biliary drainage; Therapeutic Endoscopic ultrasound; Biliary obstruction |
| Core Tip |
Artificial intelligence (AI) could become an important add-on to endoscopic ultrasound (EUS)-guided biliary drainage by supporting patient selection, pre-procedural planning, anatomical recognition, real-time procedural guidance, and adverse-event prediction. Although direct clinical evidence remains limited, AI has the potential to enhance procedural precision, reduce operator dependence, and improve training during this technically demanding procedure. Future adoption will necessitate multicenter datasets, prospective validation, explainable models, and seamless integration into the therapeutic EUS workflow. |
| Publish Date |
2026-07-29 02:24 |
| Citation |
Salman A, Elewa A, Marwan A, Salman MA. Artificial intelligence in endoscopic ultrasound-guided biliary drainage: Emerging applications, technical challenges, and future directions. World J Transl Med 2026; 12(2): 123702
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| URL |
https://www.wjgnet.com/2220-6132/full/v12/i2/123702.htm |
| DOI |
https://doi.org/10.5528/wjtm.123702 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
