Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	75135
Country	Portugal

Received	2022-01-16 20:06
Peer-Review Started	2022-01-16 20:08
To Make the First Decision
Return for Revision	2022-03-08 22:21
Revised	2022-03-22 23:33
Second Decision	2022-04-15 01:58
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2022-04-19 21:41
Articles in Press	2022-04-19 21:41
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-04-21 06:31
Publish the Manuscript Online	2022-04-28 12:00

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	Artificial intelligence in the endoscopic approach of biliary tract diseases: A current review
Manuscript Source	Invited Manuscript
All Author List	Fábio Pereira Correia and Luís Carvalho Lourenço
ORCID	Author(s) ORCID Number Fábio Pereira Correia http://orcid.org/0000-0001-6395-3405 Luís Carvalho Lourenço http://orcid.org/0000-0002-2643-9359
Funding Agency and Grant Number
Corresponding Author	Luís Carvalho Lourenço, MD, Attending Doctor, Gastroenterology, Hospital Prof. Dr Fernando Fonseca, IC19, Amadora 2720-276, Portugal. luisclourenco@gmail.com
Key Words	Deep learning; Artificial Neural Networks; Bile duct; Choledocholithiasis; Biliary strictures
Core Tip	In recent times, artificial intelligence has played an increasing role in Gastroenterology. There have been numerous studies that show the potential of this technology in clinical practice. Despite this, evidence of the application of these systems in the investigation and treatment of biliary diseases is still scarce. The complexity and challenge that may underlie these processes make this symbiosis very promising. We reviewed the state of the art regarding the application of artificial intelligence in biliary pathology.
Publish Date	2022-04-28 12:00
Citation	Correia FP, Lourenço LC. Artificial intelligence in the endoscopic approach of biliary tract diseases: A current review. Artif Intell Gastrointest Endosc 2022; 3(2): 9-15
URL	https://www.wjgnet.com/2689-7164/full/v3/i2/9.htm
DOI	https://dx.doi.org/10.37126/aige.v3.i2.9

Full Article (PDF)	AIGE-3-9.pdf
Full Article (Word)	AIGE-3-9.docx
Manuscript File	75135_Auto_Edited-LJH.docx
Answering Reviewers	75135-Answering reviewers.pdf
Audio Core Tip	75135-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	75135-Conflict-of-interest statement.pdf
Copyright License Agreement	75135-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	75135-Language certificate.pdf
Supplementary Material	75135-Supplementary material.pdf
Peer-review Report	75135-Peer-review(s).pdf
Scientific Misconduct Check	75135-Bing-Liu JH-2.jpg
Scientific Misconduct Check	75135-CrossCheck.jpg
Scientific Editor Work List	75135-Scientific editor work list.pdf
CrossCheck Report	75135-CrossCheck report.pdf