Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	57778
Country	Italy

Received	2020-06-23 08:23
Peer-Review Started	2020-06-23 08:23
To Make the First Decision
Return for Revision	2020-07-03 15:41
Revised	2020-07-07 09:53
Second Decision	2020-07-16 10:26
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2020-07-16 23:34
Articles in Press	2020-07-16 23:34
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2020-07-22 07:57
Publish the Manuscript Online	2020-07-23 11:43

ISSN	2689-7164 (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: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Emerging artificial intelligence applications in gastroenterology: A review of the literature
Manuscript Source	Invited Manuscript
All Author List	Gaetano Cristian Morreale, Emanuele Sinagra, Alessandro Vitello, Endrit Shahini, Erjon Shahini and Marcello Maida
Funding Agency and Grant Number
Corresponding Author	Marcello Maida, MD, Doctor, Doctor, Senior Researcher, Gastroenterology and Endoscopy Unit, S. Elia–M. Raimondi Hospital, Via Giacomo Cusmano, 1, Caltanissetta 93100, Italy. marcello.maida@hotmail.it
Key Words	Artificial intelligence; Machine learning; Deep learning; Computer-aided diagnosis; Gastroenterology; Endoscopy
Core Tip	Artificial intelligence (AI) allows machines to provide disruptive value in a multitude of industries and knowledge domains. Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning, are arising in gastrointestinal endoscopy. Computer-aided diagnosis has been performed during upper gastrointestinal endoscopy for the automated identification of dysplastic lesions in Barrett’s esophagus for preventing esophageal cancer, as well as in lower gastrointestinal endoscopy for detecting colorectal polyps to prevent colorectal cancer. The aim of this review is to investigate current data from the literature, supporting recent technologies of AI both in upper and lower gastrointestinal diseases, including Barrett's esophagus, gastric cancer, Helicobacter pylori infection, colonic polyps and colon cancer.
Publish Date	2020-07-23 11:43
Citation	Morreale GC, Sinagra E, Vitello A, Shahini E, Shahini E, Maida M. Emerging artificial intelligence applications in gastroenterology: A review of the literature. Artif Intell Gastrointest Endosc 2020; 1(1): 6-18
URL	https://www.wjgnet.com/2689-7164/full/v1/i1/6.htm
DOI	https://dx.doi.org/ 10.37126/aige.v1.i1.6

Full Article (PDF)	AIGE-1-6.pdf
Full Article (Word)	AIGE-1-6.docx
Manuscript File	57778-Review.doc
Answering Reviewers	57778-Answering reviewers.pdf
Audio Core Tip	57778-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	57778-Conflict-of-interest statement.pdf
Copyright License Agreement	57778-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	57778-Language certificate.pdf
Peer-review Report	57778-Peer-review(s).pdf
Scientific Misconduct Check	57778-Scientific misconduct check.pdf
Scientific Editor Work List	57778-Scientific editor work list.pdf
CrossCheck Report	57778-CrossCheck report.pdf