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Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 91336
Country Lebanon
Category Gastroenterology & Hepatology
Manuscript Type Editorial
Article Title Will artificial intelligence reach any limit in gastroenterology?
Manuscript Source Invited Manuscript
All Author List Joseph Bou Jaoude, Rose Al Bacha and Bassam Abboud
Funding Agency and Grant Number
Corresponding Author Bassam Abboud, MD, Professor, Department of General Surgery, Geitaoui Hospital, Faculty of Medicine, Lebanese University, Lebanon, Rmeil, Beirut 166830, Lebanon. dbabboud@yahoo.fr
Key Words Artificial intelligence; Digestive tract; Gastroenterology; Gastroscopy; Coloscopy
Core Tip The field of gastrointestinal endoscopy is an essential tool in the management of digestive diseases. Despite ongoing advancementsinendoscopic technology, the incidence of missed pre-neoplastic and neoplastic lesions remains high. This is attributed to the operator-dependent nature of endoscopy, resulting in variability in detection rates and the characterization of lesions among endoscopists. To enhance endoscopic performance, it is imperative to minimize the "cognitive errors" made by the endoscopist. Artificial Intelligence, being operator-independent, could potentially serve as an unlimited solution.
Citation Bou Jaoude J, Al Bacha R, Abboud B. Will artificial intelligence reach any limit in gastroenterology? ArtifIntell Gastroenterol 2024; In press
2023-12-27 08:04
Peer-Review Started
2023-12-27 08:04
To Make the First Decision
Return for Revision
2024-04-13 17:58
2024-04-25 09:03
Second Decision
2024-06-07 02:47
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-06-07 09:37
Articles in Press
2024-06-07 09:37
Publication Fee Transferred
Edit the Manuscript by Language Editor
2024-06-11 19:22
Typeset the Manuscript
ISSN 2644-3236 (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.
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