Publication Name	World Journal of Gastroenterology
Manuscript ID	102950
Country	China

Received	2024-11-04 11:26
Peer-Review Started	2024-11-04 11:26
To Make the First Decision
Return for Revision	2025-02-06 19:02
Revised	2025-02-19 08:52
Second Decision	2025-02-26 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-02-26 05:03
Articles in Press	2025-02-26 05:03
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-02-27 06:59
Typeset the Manuscript	2025-03-13 08:23
Publish the Manuscript Online	2025-03-26 08:40

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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence
Manuscript Source	Unsolicited Manuscript
All Author List	You-Han Zhang, Ai-Qiao Fang, Hui-Yun Zhu and Yi-Qi Du
ORCID	Author(s) ORCID Number Ai-Qiao Fang http://orcid.org/0000-0002-3287-7718 Hui-Yun Zhu http://orcid.org/0000-0003-4580-8700 Yi-Qi Du http://orcid.org/0000-0001-9330-0069
Funding Agency and Grant Number	Funding Agency Grant Number Youth Start-up Fund of the Naval Medical University 2023QN052 Basic Medical Research Project of the First Affiliated Hospital of Naval Medical University 2023QD16 Simulated RCT Research Project of Shanghai Hospital Deveopment Center SHDC2024CRI048 Changhai Hospital Changfeng Talent Plan Shanghai Public Health Key Discipline Project GWVI-11.1-21
Corresponding Author	Hui-Yun Zhu, gastroenterology, changhai hospital, 168 Changhai Road, Shanghai 200433, China. zhuhuiyun0205@qq.com
Key Words	Artificial intelligence; Autoimmune pancreatitis; Diagnosis; Machine learning; Deep learning
Core Tip	The current diagnosis of autoimmune pancreatitis (AIP) is challenging and often requires multidisciplinary and comprehensive judgment. Misdiagnosis of AIP in clinical practice is common, so it is necessary to find new diagnostic methods for AIP. The development of artificial intelligence (AI) is evident, and we believe it holds significant potential as a positive auxiliary tool for AIP diagnosis, with substantial practical value in clinical practice. This article aims to highlight the role of AI in AIP diagnosis, suggesting a promising avenue for future development.
Publish Date	2025-03-26 08:40
Citation	<p>Zhang YH, Fang AQ, Zhu HY, Du YQ. Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence. <i>World J Gastroenterol</i> 2025; 31(12): 102950</p>
URL	https://www.wjgnet.com/1007-9327/full/v31/i12/102950.htm
DOI	https://dx.doi.org/10.3748/wjg.v31.i12.102950

Full Article (PDF)	WJG-31-102950-with-cover.pdf
Manuscript File	102950_Auto_Edited_021907.docx
Answering Reviewers	102950-answering-reviewers.pdf
Audio Core Tip	102950-audio.m4a
Conflict-of-Interest Disclosure Form	102950-conflict-of-interest-statement.pdf
Copyright License Agreement	102950-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	102950-foundation-statement.pdf
Non-Native Speakers of English Editing Certificate	102950-non-native-speakers.pdf
Peer-review Report	102950-peer-reviews.pdf
Scientific Misconduct Check	102950-scientific-misconduct-check.png
Scientific Editor Work List	102950-scientific-editor-work-list.pdf
CrossCheck Report	102950-crosscheck-report.png
CrossCheck Report	102950-crosscheck-report.pdf