Publication Name	World Journal of Nephrology
Manuscript ID	100825
Country	China

Received	2024-08-27 08:49
Peer-Review Started	2024-08-27 08:49
To Make the First Decision
Return for Revision	2024-11-22 12:47
Revised	2024-11-29 10:05
Second Decision	2024-12-26 02:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-12-27 10:01
Articles in Press	2024-12-27 10:01
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-01-10 07:31
Publish the Manuscript Online	2025-01-20 08:27

ISSN	2220-6124 (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.
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com

Category	Urology & Nephrology
Manuscript Type	Editorial
Article Title	Artificial intelligence-driven strategies for managing renal and urinary complications in inflammatory bowel disease
Manuscript Source	Invited Manuscript
All Author List	Ya-Xiong Guo, Xiong Yan, Xu-Chang Liu, Yu-Xiang Liu and Chun Liu
ORCID	Author(s) ORCID Number Xu-Chang Liu http://orcid.org/0009-0004-2938-8202 Yu-Xiang Liu http://orcid.org/0000-0002-4552-9878 Chun Liu http://orcid.org/0009-0002-0070-7877
Funding Agency and Grant Number
Corresponding Author	Chun Liu, Professor, NO.1 Clinical Medicial School, Shanxi Medical University, No.56 Xinjian South Road, Taiyuan 030001, Shanxi Province, China. sxtyliuchun@126.com
Key Words	Inflammatory bowel disease; Renal complications; Artificial intelligence; Long-term management; Nephrotoxicity
Core Tip	Inflammatory bowel disease (IBD) requires long-term continuous drug therapy. However, many current first-line drugs exhibit nephrotoxicity or potential nephrotoxic induction with prolonged use. Artificial intelligence can assist in analyzing and adjusting treatment plans, offering theoretical prospects for long-term IBD management. Establishing a comprehensive and accurate database of clinical predictive indicators is crucial.
Publish Date	2025-01-20 08:27
Citation	<p>Guo YX, Yan X, Liu XC, Liu YX, Liu C. Artificial intelligence-driven strategies for managing renal and urinary complications in inflammatory bowel disease. <i>World J Nephrol</i> 2025; 14(1): 100825</p>
URL	https://www.wjgnet.com/2220-6124/full/v14/i1/100825.htm
DOI	https://dx.doi.org/10.5527/wjn.v14.i1.100825

Full Article (PDF)	WJN-14-100825-with-cover.pdf
Manuscript File	100825_Auto_Edited_013509.docx
Answering Reviewers	100825-answering-reviewers.pdf
Audio Core Tip	100825-audio.mp3
Conflict-of-Interest Disclosure Form	100825-conflict-of-interest-statement.pdf
Copyright License Agreement	100825-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	100825-non-native-speakers.pdf
Peer-review Report	100825-peer-reviews.pdf
Scientific Misconduct Check	100825-scientific-misconduct-check.png
Scientific Editor Work List	100825-scientific-editor-work-list.pdf
CrossCheck Report	100825-crosscheck-report.pdf