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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 28, 2025; 31(44): 111160
Published online Nov 28, 2025. doi: 10.3748/wjg.v31.i44.111160
Published online Nov 28, 2025. doi: 10.3748/wjg.v31.i44.111160
Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions
Noelle El Asmar, Mariam Baydoun, Jamil Mrad, Kassem Barada, Division of Gastroenterology and Hepatology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon
Author contributions: El Asmar N, Baydoun M, Mrad J compiled and analysed the data and drafted the manuscript; Barada K conceptualized, supervised and critically reviewed the manuscript for important intellectual content.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
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/
Corresponding author: Kassem Barada, MD, Professor, Division of Gastroenterology and Hepatology, Department of Internal Medicine, American University of Beirut Medical Center, Riad El Solh PO Box 11-0236, Beirut 1107 2020, Lebanon. kb02@aub.edu.lb
Received: June 25, 2025
Revised: July 20, 2025
Accepted: October 23, 2025
Published online: November 28, 2025
Processing time: 156 Days and 21.8 Hours
Revised: July 20, 2025
Accepted: October 23, 2025
Published online: November 28, 2025
Processing time: 156 Days and 21.8 Hours
Core Tip
Core Tip: Artificial intelligence (AI) is revolutionizing healthcare. There is evidence supporting the role of AI in the detection/characterization of premalignant lesions and early cancers of the gastrointestinal (GI) tract, especially in the esophagus, stomach and colon. The utilization of AI may eventually decrease the incidence of interval cancers which are mainly attributed to missed lesions during endoscopy. It benefits mostly novice endoscopists and trainees. AI may be superior to experienced endoscopists in the detection of diminutive lesions. The effect of AI on clinically meaningful outcomes such as incidence of interval GI cancers, morbidity, mortality and cost effectiveness requires further research.