Publication Name	World Journal of Gastroenterology
Manuscript ID	110999
Country	United Arab Emirates

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis?
Manuscript Source	Invited Manuscript
All Author List	Iyad A Issa, Osama Youssef and Taly Issa
Funding Agency and Grant Number
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.
Citation	Issa IA, Youssef O, Issa T. Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis? World J Gastroenterol 2025; In press

Received	2025-06-20 02:03
Peer-Review Started	2025-06-20 02:04
To Make the First Decision
Return for Revision	2025-07-07 06:30
Revised	2025-07-14 18:53
Second Decision	2025-09-08 02:44
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-09-08 07:10
Articles in Press	2025-09-08 07:10
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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