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12/19/2020 11:55:31 AM | Browse: 506 | Download: 798
Publication Name World Journal of Gastroenterology
Manuscript ID 60037
Country/Territory Belgium
Received
2020-10-13 17:11
Peer-Review Started
2020-10-13 17:12
To Make the First Decision
Return for Revision
2020-11-13 17:03
Revised
2020-11-18 18:08
Second Decision
2020-11-25 13:39
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-11-29 04:06
Articles in Press
2020-11-29 04:06
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-12-15 02:40
Publish the Manuscript Online
2020-12-19 11:55
ISSN 1007-9327 (print) and 2219-2840 (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) 2020. 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 Opinion Review
Article Title Artificial intelligence-aided colonoscopy: Recent developments and future perspectives
Manuscript Source Invited Manuscript
All Author List Giulio Antonelli, Paraskevas Gkolfakis, Georgios Tziatzios, Ioannis S Papanikolaou, Konstantinos Triantafyllou and Cesare Hassan
ORCID
Author(s) ORCID Number
Giulio Antonelli http://orcid.org/0000-0003-1797-3864
Paraskevas Gkolfakis http://orcid.org/0000-0002-9677-4013
Georgios Tziatzios http://orcid.org/0000-0002-2945-6007
Ioannis S Papanikolaou http://orcid.org/0000-0002-7368-6168
Konstantinos Triantafyllou http://orcid.org/0000-0002-5183-9426
Cesare Hassan http://orcid.org/0000-0001-7167-1459
Funding Agency and Grant Number
Corresponding Author Paraskevas Gkolfakis, MD, Consultant Physician-Scientist, Department of Gastroenterology Hepatopancreatology and Digestive Oncology, Erasme University Hospital, Université Libre de Bruxelles, Rue de Lennik 808, Brussels 1070, Belgium. pgkolfakis@med.uoa.gr
Key Words Artificial intelligence; Colonoscopy; Polyp; Adenoma; Detection; Characterization
Core Tip Artificial intelligence systems using deep learning techniques are constantly developing in all fields of medicine including diagnostic colonoscopy. They aim to become part of daily routine and eliminate inherent examination’s shortcomings and lead to a higher level of provided health services. In this opinion review we present the existing evidence regarding the impact of artificial intelligence systems on the improvement of colonoscopy’s outcomes, namely adenoma detection rate and adenoma miss rate, focusing mainly on clinical trials and meta-analyses evaluating real-time computer aided detection and characterization.
Publish Date 2020-12-19 11:55
Citation Antonelli G, Gkolfakis P, Tziatzios G, Papanikolaou IS, Triantafyllou K, Hassan C. Artificial intelligence-aided colonoscopy: Recent developments and future perspectives. World J Gastroenterol 2020; 26(47): 7436-7443
URL https://www.wjgnet.com/1007-9327/full/v26/i47/7436.htm
DOI https://dx.doi.org/10.3748/wjg.v26.i47.7436
Full Article (PDF) WJG-26-7436.pdf
Full Article (Word) WJG-26-7436.docx
Manuscript File 60037_Auto_Edited.docx
Answering Reviewers 60037-Answering reviewers.pdf
Audio Core Tip 60037-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 60037-Conflict-of-interest statement.pdf
Copyright License Agreement 60037-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 60037-Language certificate.pdf
Peer-review Report 60037-Peer-review(s).pdf
Scientific Misconduct Check 60037-Scientific misconduct check.pdf
Scientific Editor Work List 60037-Scientific editor work list.pdf