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Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 76203
Country/Territory United States
Category Gastroenterology and Hepatology
Manuscript Type Minireviews
Article Title Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction
Manuscript Source Invited Manuscript
All Author List Aaron R Brenner, Passisd Laoveeravat, Patrick J Carey, Danielle Joiner, Samuel H Mardini and Manol Jovani
Funding Agency and Grant Number
Corresponding Author Manol Jovani, MD, MSc, Assistant Professor, Attending Doctor, Doctor, ​Digestive Diseases and Nutrition, University of Kentucky Albert B. Chandler Hospital, 770 Rose St Room MN662, Lexington, KY 40536, United States. manol.jovani@mail.harvard.edu
Key Words Cholangiocarcinoma; Artificial intelligence; Cholangioscopy; Artificial neural network; Machine learning; Therapeutic endoscopy; Endoscopic ultrasound
Core Tip Artificial intelligence (AI) aided by multiple imaging modalities is accurate and effective for diagnosis and characterization of biliary masses. The advancement and incorporation of imaging into artificial intelligence will help to decrease delay in diagnosis of cholangiocarcinoma and potentially decrease mortality. This review examines studies showing that AI can assist in real-time diagnosis of cholangiocarcinoma and predict outcomes of treatment. Current data suggests that AI will soon become an indispensable part of the armamentarium for the management of cholangiocarcinoma and other biliary diseases.
Citation Brenner AR, Laoveeravat P, Carey PJ, Joiner D, Mardini SH, Jovani M. Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction. Artif Intell Gastroenterol 2022; In press
2022-03-07 04:01
Peer-Review Started
2022-03-07 04:03
To Make the First Decision
Return for Revision
2022-04-10 05:49
2022-04-16 17:18
Second Decision
2022-05-07 07:56
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-05-08 07:13
Articles in Press
2022-05-08 07:13
Publication Fee Transferred
Edit the Manuscript by Language Editor
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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
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
Assistant Editor Assistant Editor
Science Editor Ji-Hong Liu
Reviewer Code 05521209, and 03863132
Editorial Director
Journal Chief Editor
Company Chief Editor Lian-Sheng Ma
Language Editor
Production Editor
Responsible Production Editor
Responsible Science Editor
Proofing Editorial Director Jin-Lei Wang
Proofing Editor-in-Chief Lian-Sheng Ma
Manuscript File 76203_Auto_Edited-LJH.docx
Answering Reviewers 76203-Answering reviewers.pdf
Audio Core Tip 76203-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 76203-Conflict-of-interest statement.pdf
Copyright License Agreement 76203-Copyright license agreement.pdf
Peer-review Report 76203-Peer-review(s).pdf
Scientific Misconduct Check 76203-Bing-Liu JH-2.jpg
Scientific Misconduct Check 76203-CrossCheck.jpg
Scientific Editor Work List 76203-Scientific editor work list.pdf