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9/6/2021 10:32:49 AM | Browse: 380 | Download: 758
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 68784
Country/Territory United States
Received
2021-06-03 20:13
Peer-Review Started
2021-06-03 20:16
To Make the First Decision
Return for Revision
2021-06-23 03:58
Revised
2021-07-07 21:32
Second Decision
2021-08-13 03:04
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-08-13 06:03
Articles in Press
2021-08-13 06:03
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-08-19 00:55
Publish the Manuscript Online
2021-09-06 10:32
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/
Copyright © The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy
Manuscript Source Invited Manuscript
All Author List Gerald A Cox II, Christian S Jackson and Kenneth J Vega
ORCID
Author(s) ORCID Number
Gerald A Cox II http://orcid.org/0000-0001-9116-5764
Christian S Jackson http://orcid.org/0000-0003-4229-4206
Kenneth J Vega http://orcid.org/0000-0002-2432-6123
Funding Agency and Grant Number
Corresponding Author Kenneth J Vega, MD, Director, Professor, Division of Gastroenterology and Hepatology, Augusta University - Medical College of Georgia, 1120 15th Street, AD 2226, Augusta, GA 30912, United States. kvega@augusta.edu
Key Words Artificial intelligence; Video capsule endoscopy; Gastrointestinal angiodysplasia; Detection; Bleeding; Small bowel
Core Tip Video capsule endoscopy (VCE) is the primary modality to diagnose gastrointestinal angiodysplasias (GIADs). Typically, gastroenterologists rely on VCE to make a diagnosis of GIAD prior to referral for deep enteroscopy. However, VCE analysis can be cumbersome secondary to reader fatigue, suboptimal preparation, and difficulty in distinguishing images. Use of artificial intelligence in VCE has shown improved GIAD detection, however limitations exist that still need to be addressed. The use of artificial intelligence for GIAD diagnosis shows promise and changes needed to enhance current VCE practices are near.
Publish Date 2021-09-06 10:32
Citation Cox II GA, Jackson CS, Vega KJ. Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy. Artif Intell Gastrointest Endosc 2021; 2(4): 179-184
URL https://www.wjgnet.com/2689-7164/full/v2/i4/179.htm
DOI https://dx.doi.org/10.37126/aige.v2.i4.179
Full Article (PDF) AIGE-2-179.pdf
Full Article (Word) AIGE-2-179.docx
Manuscript File 68784_Auto_Edited-JPY.docx
Answering Reviewers 68784-Answering reviewers.pdf
Audio Core Tip 68784-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 68784-Conflict-of-interest statement.pdf
Copyright License Agreement 68784-Copyright license agreement.pdf
Peer-review Report 68784-Peer-review(s).pdf
Scientific Misconduct Check 68784-Bing-Liu M-1.png
Scientific Misconduct Check 68784-Bing-Liu M-2.png
Scientific Misconduct Check 68784-Scientific misconduct check.pdf
Scientific Editor Work List 68784-Scientific editor work list.pdf