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Articles Published Processes
7/23/2026 6:25:03 AM | Browse: 1 | Download: 0
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Received |
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2025-10-20 02:04 |
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Peer-Review Started |
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2025-10-20 02:04 |
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First Decision by Editorial Office Director |
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2025-12-05 09:31 |
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Return for Revision |
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2025-12-05 09:31 |
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Revised |
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2025-12-18 14:10 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-02-02 03:01 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-02-02 10:15 |
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Articles in Press |
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2026-02-02 10:15 |
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Edit the Manuscript by Language Editor |
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2026-02-09 05:30 |
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Typeset the Manuscript |
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2026-07-20 06:25 |
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Publish the Manuscript Online |
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2026-07-23 06:25 |
| ISSN |
1007-9327 (print) and 2219-2840 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2026. 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 |
Ethics |
| Manuscript Type |
Editorial |
| Article Title |
Application of artificial intelligence model in precise risk stratification and treatment decision-making for acute variceal bleeding in cirrhosis
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ahemala Duishanbai and Yan-Bo Yu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82070540 |
| Taishan Scholars Program of Shandong Province |
tsqn202211309 |
| National Key Research and Development Program |
2022YFC2504000 |
| Natural Science Foundation of Shandong Province |
ZR2024LSW013 |
| Scientific Research Project of Shandong Medical Association |
YXH2024YS027 |
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| Corresponding Author |
Yan-Bo Yu, Chief Physician, Professor, Department of Gastroenterology, Qilu Hospital of Shandong University, No. 107 Wenhuaxi Road, Jinan 250012, Shandong Province, China. yuyanbo2000@126.com |
| Key Words |
Non-invasive assessment; Precision medicine; Acute variceal bleeding; Artificial intelligence; Preemptive transjugular intrahepatic portosystemic shunt |
| Core Tip |
This editorial reviews the non-invasive diagnostic techniques for portal hypertension and the application progress of artificial intelligence in the screening, diagnosis, and treatment of cirrhosis-related gastroesophageal varices. It focuses on exploring the application value of artificial intelligence in the risk stratification assessment of high-risk gastroesophageal variceal bleeding, post-bleeding condition monitoring, and the formulation of individualized diagnosis and treatment decisions. |
| Publish Date |
2026-07-23 06:25 |
| Citation |
Duishanbai A, Yu YB. Application of artificial intelligence model in precise risk stratification and treatment decision-making for acute variceal bleeding in cirrhosis. World J Gastroenterol 2026; 32(30): 115546
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i30/115546.htm |
| DOI |
https://doi.org/10.3748/wjg.115546 |
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