Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	125045
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Role of artificial intelligence in endoscopic ultrasound: A narrative review
Manuscript Source	Invited Manuscript
All Author List	Kartik Mehta, Eashan Aneja, Ravi Teja Reddy, Supraja L Mohan, Aarushi Ahuja, Suvrankar Datta, Venkatesh Vaithiyam and Sanjeev Sachdeva
Funding Agency and Grant Number
Corresponding Author	Venkatesh Vaithiyam, Assistant Professor, DM, MD, Department of Gastroenterology, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research, Department of Gastroenterology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 110002, Delhi, India. venkateshvaithiyam172@gmail.com
Key Words	Artificial intelligence; Endoscopic ultrasound; Pancreatic mass; Lymph node; Subepithelial lesions
Core Tip	Artificial intelligence (AI) is emerging as a transformative adjunct to endoscopic ultrasound (EUS), with promising applications for assessing pancreatic solid and cystic lesions, gastrointestinal subepithelial lesions, and lymph nodes, as well as for EUS-guided tissue acquisition. Contemporary deep learning models exhibit high diagnostic accuracy and have the potential to reduce interobserver variability, enhance lesion characterization, enable rapid digital on-site cytopathologic evaluation, and improve procedural efficiency. AI should currently be regarded as an assistive tool, and future multicenter prospective studies, standardized reporting, and seamless clinical integration are essential for the widespread adoption of this approach.
Citation	Mehta K, Aneja E, Reddy RT, Mohan SL, Ahuja A, Datta S, Vaithiyam V, Sachdeva S. Role of artificial intelligence in endoscopic ultrasound: A narrative review. Artif Intell Gastrointest Endosc 2026; In press

Received	2026-07-01 06:00
Peer-Review Started	2026-07-01 06:01
First Decision by Editorial Office Director
Return for Revision	2026-08-04 08:25
Revised	2026-08-18 03:25
Publication Fee Transferred
Second Decision by Editor	2026-09-21 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-21 09:48
Articles in Press	2026-09-21 09:48
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2689-7164 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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