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11/3/2026 3:34:07 AM | Browse: 1 | Download: 7
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 123890
Country Egypt
Received
2026-06-02 07:58
Peer-Review Started
2026-06-02 07:58
First Decision by Editorial Office Director
Return for Revision
2026-07-23 02:48
Revised
2026-07-30 10:45
Publication Fee Transferred
Second Decision by Editor
2026-08-10 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-08-10 10:22
Articles in Press
2026-08-10 10:22
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-08-31 06:31
Publish the Manuscript Online
2026-11-03 03:34
ISSN 2644-3236 (online)
Open Access 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
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 Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Artificial intelligence in autoimmune pancreatitis: Differentiating immunoglobulin G4-related pancreatitis from pancreatic ductal adenocarcinoma
Manuscript Source Unsolicited Manuscript
All Author List Ahmed Salman, Ahmed Elewa and Ahmad Marwan
ORCID
Author(s) ORCID Number
Ahmed Salman http://orcid.org/0000-0003-0026-0841
Funding Agency and Grant Number
Corresponding Author Ahmed Salman, Internal Medicine, Kasr Alainy School of Medicine, 1 Al-Saray Street, Cairo 3178, Al Qāhirah, Egypt. awea844@gmail.com
Key Words Artificial intelligence; Autoimmune pancreatitis; Immunoglobulin G4-related disease; Pancreatic ductal adenocarcinoma; Radiomics; Deep learning; Endoscopic ultrasound
Core Tip Autoimmune pancreatitis, especially localized immunoglobulin G4-related condition, is very similar to pancreatic ductal adenocarcinoma and constitutes a great diagnostic dilemma. This review summarizes the emerging applications of artificial intelligence (AI) such as radiomics, deep learning, endoscopic ultrasound image analysis, digital pathology, and multimodal models to aid in this differentiation and provides a table of reported diagnostic performance in published studies. AI can help improve risk classification and decrease unnecessary surgical procedures. However, existing evidence is insufficient, and its application should complement expert multidisciplinary evaluations, necessitating thorough validation to prevent delays in cancer diagnosis.
Publish Date 2026-11-03 03:34
Citation

Salman A, Elewa A, Marwan A. Artificial intelligence in autoimmune pancreatitis: Differentiating immunoglobulin G4-related pancreatitis from pancreatic ductal adenocarcinoma. Artif Intell Gastroenterol 2026; 7(3): 123890

URL https://www.wjgnet.com/2644-3236/full/v7/i3/123890.htm
DOI https://doi.org/10.35712/aig.123890
Full Article (PDF) AIG-7-123890-with-cover.pdf
Manuscript File 123890_Auto_Edited_012623.docx
Answering Reviewers 123890-answering-reviewers.pdf
Audio Core Tip 123890-audio.m4a
Conflict-of-Interest Disclosure Form 123890-conflict-of-interest-statement.pdf
Copyright License Agreement 123890-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 123890-non-native-speakers.pdf
Peer-review Report 123890-peer-reviews.pdf
Scientific Misconduct Check 123890-scientific-misconduct-check.png
CrossCheck Report 123890-crosscheck-report.pdf