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11/28/2025 3:10:39 AM | Browse: 1 | Download: 0
Publication Name World Journal of Gastroenterology
Manuscript ID 111160
Country Lebanon
Received
2025-06-25 01:59
Peer-Review Started
2025-06-25 01:59
To Make the First Decision
Return for Revision
2025-07-08 10:58
Revised
2025-07-20 07:41
Second Decision
2025-10-23 02:32
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-10-23 06:46
Articles in Press
2025-10-23 06:46
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-11-21 07:14
Publish the Manuscript Online
2025-11-28 03:10
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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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 Review
Article Title Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions
Manuscript Source Invited Manuscript
All Author List Noelle El Asmar, Mariam Baydoun, Jamil Mrad and Kassem Barada
ORCID
Author(s) ORCID Number
Noelle El Asmar http://orcid.org/0000-0003-2834-1758
Mariam Baydoun http://orcid.org/0000-0002-6920-6870
Jamil Mrad http://orcid.org/0009-0003-4107-1075
Kassem Barada http://orcid.org/0000-0002-9629-1708
Funding Agency and Grant Number
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
Key Words Artificial intelligence; Premalignant; Early cancer; Neural networks; Polyps; Barrett’s esophagus; Colon cancer; Video capsule
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.
Publish Date 2025-11-28 03:10
Citation <p>El Asmar N, Baydoun M, Mrad J, Barada K. Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions. <i>World J Gastroenterol</i> 2025; 31(44): 111160</p>
URL https://www.wjgnet.com/1007-9327/full/v31/i44/111160.htm
DOI https://dx.doi.org/10.3748/wjg.v31.i44.111160
Full Article (PDF) WJG-31-111160-with-cover.pdf
Manuscript File 111160_Auto_Edited_031149.docx
Answering Reviewers 111160-answering-reviewers.pdf
Audio Core Tip 111160-audio.m4a
Conflict-of-Interest Disclosure Form 111160-conflict-of-interest-statement.pdf
Copyright License Agreement 111160-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 111160-non-native-speakers.pdf
Peer-review Report 111160-peer-reviews.pdf
Scientific Misconduct Check 111160-scientific-misconduct-check.png
Scientific Editor Work List 111160-scientific-editor-work-list.pdf
CrossCheck Report 111160-crosscheck-report.pdf