Copyright: ©Author(s) 2026. 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.
World J Clin Cases. Oct 6, 2026; 14(28): 126107
Published online Oct 6, 2026. doi: 10.12998/wjcc.126107
Published online Oct 6, 2026. doi: 10.12998/wjcc.126107
Updates on the clinical use of artificial intelligence in upper gastrointestinal diseases: A comprehensive literature review
Chloe Lahoud, Division of Gastroenterology and Hepatology, NYC Health + Hospitals/South Brooklyn Health, Brooklyn, NY 11235, United States
Shivania Reddy, Ryan Tam, Faris Qaqish, Rabindra Dhakal, Department of Internal Medicine, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, United States
Alia Hasham, Department of Gastroenterology and Hepatology, Staten Island University Hospital, Northwell Health, Staten Island, NY 10305, United States
Author contributions: Lahoud C, Reddy S, Tam R, Qaqish F, and Dhakal R designed the research study, data collection, literature review and manuscript drafting; Hasham A provided supervision and revision of the manuscript.
AI contribution statement: Artificial intelligence was used solely to assist with grammatical editing. All AI-assisted revisions were reviewed and verified by the authors.
Conflict-of-interest statement: All authors declare that they have no conflicts of interest to disclose.
Corresponding author: Chloe Lahoud, MD, Division of Gastroenterology and Hepatology, NYC Health + Hospitals/South Brooklyn Health, 2601 Ocean Pkwy, Brooklyn, NY 11235, United States. chloelahoud@gmail.com
Received: July 27, 2026
Revised: October 21, 2026
Accepted: October 23, 2026
Published online: October 6, 2026
Processing time: 91 Days and 5.7 Hours
Revised: October 21, 2026
Accepted: October 23, 2026
Published online: October 6, 2026
Processing time: 91 Days and 5.7 Hours
Core Tip
Core Tip: Artificial intelligence (AI) is reshaping the management of upper gastrointestinal diseases by improving lesion detection, diagnosis, risk stratification, and clinical decision-making. AI has demonstrated diagnostic accuracy comparable to that of general endoscopists in several upper gastrointestinal conditions. While these findings are promising, prospective validation and standardized implementation are needed before widespread clinical adoption.