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Articles Published Processes
10/14/2025 7:41:43 AM | Browse: 5 | Download: 11
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Received |
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2025-06-20 02:03 |
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Peer-Review Started |
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2025-06-20 02:04 |
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To Make the First Decision |
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Return for Revision |
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2025-07-07 06:30 |
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Revised |
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2025-07-14 18:53 |
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Second Decision |
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2025-09-08 02:44 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-09-08 07:10 |
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Articles in Press |
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2025-09-08 07:10 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-09-28 02:11 |
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Publish the Manuscript Online |
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2025-10-14 07:41 |
| 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. |
| 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis?
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Iyad A Issa, Osama Youssef and Taly Issa |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Iyad A Issa, MD, Department of Gastroenterology and Hepatology, Harley Street Medical Center, Marina Village, Villa No. A21, Abu Dhabi 41475, United Arab Emirates. iyadissa71@gmail.com |
| Key Words |
Artificial intelligence; Deep learning; Eosinophilic esophagitis; Esophagus; Inflammation |
| Core Tip |
The integration of artificial intelligence (AI) and deep learning models into the diagnosis and management of eosinophilic esophagitis shows great promise in enhancing diagnostic accuracy, reducing human variability in interpretation, and facilitating timely interventions. By addressing the limitations of traditional diagnostic methods, AI technologies can streamline the clinical workflow, improve patient outcomes, and potentially transform the approach to managing this complex, chronic condition. However, ongoing research is necessary to validate these tools across diverse clinical settings and ensure their ethical application. |
| Publish Date |
2025-10-14 07:41 |
| Citation |
<p>Issa IA, Youssef O, Issa T. Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis? <i>World J Gastroenterol</i> 2025; 31(38): 110999</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i38/110999.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i38.110999 |
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