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9/6/2021 10:32:49 AM | Browse: 391 | Download: 757
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 66998
Country/Territory United Kingdom
Received
2021-05-22 14:32
Peer-Review Started
2021-05-22 14:37
To Make the First Decision
Return for Revision
2021-06-18 05:35
Revised
2021-06-20 12:54
Second Decision
2021-07-15 03:23
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-07-15 07:58
Articles in Press
2021-07-15 07:58
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-09-02 07:28
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 in endoscopy: The challenges and future directions
Manuscript Source Unsolicited Manuscript
All Author List Xiaohong Gao and Barbara Braden
ORCID
Author(s) ORCID Number
Xiaohong Gao http://orcid.org/0000-0002-8103-6624
Barbara Braden http://orcid.org/0000-0002-8534-6873
Funding Agency and Grant Number
Corresponding Author Xiaohong Gao, PhD, Full Professor, Department of Computer Science, Middlesex University, The Burroughs, Hendon, London NW4 4BT, London NW4 4BT, United Kingdom. x.gao@mdx.ac.uk
Key Words Deep learning; Oesophageal cancer; Early detection; Squamous cell cancer; Barrett’s oesophagus
Core Tip Precancerous changes in the lining of the oesophagus are easily missed during endoscopy as these lesions usually grow flat with only subtle change in colour, surface pattern and microvessel structure. Many factors impair the quality of endoscopy and subsequently the early detection of oesophageal cancer. Artificial intelligence (AI) solutions provide independence from the skills and experience of the operator in lesion recognition. Recent developments have introduced promising AI systems that will support the clinician in recognising, delineating and classifying precancerous and early cancerous changes during the endoscopy of the oesophagus in real-time.
Publish Date 2021-09-06 10:32
Citation Gao X, Braden B. Artificial intelligence in endoscopy: The challenges and future directions. Artif Intell Gastrointest Endosc 2021; 2(4): 117-126
URL https://www.wjgnet.com/2689-7164/full/v2/i4/117.htm
DOI https://dx.doi.org/10.37126/aige.v2.i4.117
Full Article (PDF) AIGE-2-117.pdf
Full Article (Word) AIGE-2-117.docx
Manuscript File 66998_Auto_Edited-JPY.docx
Answering Reviewers 66998-Answering reviewers.pdf
Audio Core Tip 66998-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 66998-Conflict-of-interest statement.pdf
Copyright License Agreement 66998-Copyright license agreement.pdf
Peer-review Report 66998-Peer-review(s).pdf
Scientific Misconduct Check 66998-Bing-Liu M-1.png
Scientific Misconduct Check 66998-Bing-Liu M-2.png
Scientific Misconduct Check 66998-Scientific misconduct check.pdf
Scientific Editor Work List 66998-Scientific editor work list.pdf