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11/6/2025 8:56:35 AM | Browse: 27 | Download: 104
Publication Name World Journal of Gastroenterology
Manuscript ID 111361
Country China
Received
2025-07-01 07:18
Peer-Review Started
2025-07-01 07:19
First Decision by Editorial Office Director
2025-08-06 11:46
Return for Revision
2025-08-06 11:46
Revised
2025-08-19 15:26
Publication Fee Transferred
2025-08-23 10:18
Second Decision by Editor
2025-09-28 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-09-28 09:05
Articles in Press
2025-09-28 09:05
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-10-28 03:02
Publish the Manuscript Online
2025-11-06 08:56
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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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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 Retrospective Cohort Study
Article Title Development of a deep learning model for guiding treatment decisions of acute variceal bleeding in patients with cirrhosis
Manuscript Source Unsolicited Manuscript
All Author List Yi Xiang, Na Yang, Tian-Lei Zheng, Yi-Fei Huang, Tian-Yu Liu, De-Qiang Ma, Sheng-Juan Hu, Wen-Hui Zhang, Hui-Ling Xiang, Li-Yao Zhang, Li-Li Yuan, Xing Wang, Tong Dang, Guo Zhang, Bin Wu, Li-Jun Peng, Min Gao, Dong-Li Xia, Zhen-Bei Liu, Jia Li, Ying Song, Xi-Qiao Zhou, Xing-Si Qi, Jing Zeng, Xiao-Yan Tan, Ming-Ming Deng, Hai-Ming Fang, Sheng-Lin Qi, Song He, Yong-Feng He, Bin Ye, Wei Wu, Jiang-Bo Shao, Wei Wei, Jian-Ping Hu, Xin Yong, Chao-Hui He, Jin-Lun Bao, Yue-Ning Zhang, Rui Ji, Yang Bo, Wei Yan, Hong-Jiang Li, Sheng-Li Li, Shi Geng, Lei Zhao, Bin Liu and Xiao-Long Qi
ORCID
Author(s) ORCID Number
Yi Xiang http://orcid.org/0000-0002-8969-7371
Tian-Yu Liu http://orcid.org/0000-0002-2076-3828
De-Qiang Ma http://orcid.org/0000-0002-6874-8061
Sheng-Juan Hu http://orcid.org/0009-0000-2444-1992
Wen-Hui Zhang http://orcid.org/0000-0003-3947-7706
Hui-Ling Xiang http://orcid.org/0000-0003-3678-4225
Li-Li Yuan http://orcid.org/0000-0002-6814-9843
Tong Dang http://orcid.org/0000-0002-4187-7795
Guo Zhang http://orcid.org/0000-0001-7755-443x
Bin Wu http://orcid.org/0000-0001-9039-9681
Ying Song http://orcid.org/0000-0002-2371-0414
Ming-Ming Deng http://orcid.org/0000-0001-9454-7645
Hai-Ming Fang http://orcid.org/0000-0001-7436-7858
Bin Ye http://orcid.org/0000-0001-7533-9963
Wei Wei http://orcid.org/0000-0003-0551-1881
Yue-Ning Zhang http://orcid.org/0000-0002-6608-0555
Rui Ji http://orcid.org/0000-0001-9011-2222
Yang Bo http://orcid.org/0000-0003-0303-5607
Sheng-Li Li http://orcid.org/0000-0002-2612-0655
Bin Liu http://orcid.org/0000-0002-8969-7372
Xiao-Long Qi http://orcid.org/0000-0002-3559-5855
Funding Agency and Grant Number
Funding Agency Grant Number
Key Research and Development Program of Jiangsu Province No. BE2023767
Xuzhou Key Research and Development Program under Grant No. KC23273
Affiliated Hospital of Xuzhou Medical University No. 2022ZL26
Construction Project of High-Level Hospital of Jiangsu Province No. GSPSJ20240802
Corresponding Author Xiao-Long Qi, Chief, MD, Professor, Liver Disease Center of Integrated Traditional Chinese and Western Medicine, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging and Interventional Radiology (Southeast University), No. 87 Dingjiaqiao, Nanjing 210009, Jiangsu Province, China. qixiaolong@vip.163.com
Key Words Acute variceal bleeding; Liver cirrhosis; Deep learning; Risk stratification; Endoscopic therapy; Preemptive transjugular intrahepatic portosystemic shunt
Core Tip A novel deep learning model was developed to predict treatment outcomes in patients with acute variceal bleeding, a life-threatening condition that is often observed in patients with cirrhosis. By analyzing clinical data collected within 24 hours of hospital admission, the artificial intelligence model can effectively identify high-risk patients who may benefit from more aggressive treatments, such as preemptive transjugular intrahepatic portosystemic shunt, while also helping avoid unwarranted invasive procedures for low-risk patients.
Publish Date 2025-11-06 08:56
Citation

Xiang Y, Yang N, Zheng TL, Huang YF, Liu TY, Ma DQ, Hu SJ, Zhang WH, Xiang HL, Zhang LY, Yuan LL, Wang X, Dang T, Zhang G, Wu B, Peng LJ, Gao M, Xia DL, Liu ZB, Li J, Song Y, Zhou XQ, Qi XS, Zeng J, Tan XY, Deng MM, Fang HM, Qi SL, He S, He YF, Ye B, Wu W, Shao JB, Wei W, Hu JP, Yong X, He CH, Bao JL, Zhang YN, Ji R, Bo Y, Yan W, Li HJ, Li SL, Geng S, Zhao L, Liu B, Qi XL. Development of a deep learning model for guiding treatment decisions of acute variceal bleeding in patients with cirrhosis. World J Gastroenterol 2025; 31(41): 111361

URL https://www.wjgnet.com/1007-9327/full/v31/i41/111361.htm
DOI https://dx.doi.org/10.3748/wjg.v31.i41.111361
Full Article (PDF) WJG-31-111361-with-cover.pdf
STROBE Statement 111361-STROBE-statement.pdf
Manuscript File 111361_Auto_Edited_020028.docx
Answering Reviewers 111361-answering-reviewers.pdf
Audio Core Tip 111361-audio.WAV
Biostatistics Review Certificate 111361-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 111361-conflict-of-interest-statement.pdf
Copyright License Agreement 111361-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s) 111361-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document 111361-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate 111361-non-native-speakers.pdf
Supplementary Material 111361-supplementary-material.pdf
Peer-review Report 111361-peer-reviews.pdf
Scientific Misconduct Check 111361-scientific-misconduct-check.png
Scientific Editor Work List 111361-scientific-editor-work-list.pdf
CrossCheck Report 111361-crosscheck-report.pdf