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	<p>Bou Jaoude J, Al Bacha R, Abboud B. Will artificial intelligence reach any limit in gastroenterology? <i>Artif Intell Gastroenterol</i> 2024; 5(2): 91336</p>

Received	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
Revised	2024-04-25 09:03
Second Decision	2024-06-07 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive 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	2024-06-21 01:24

ISSN	2644-3236 (online)
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