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6/20/2022 6:23:42 PM | Browse: 56 | Download: 33
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 75143
Country/Territory United States
Category Oncology
Manuscript Type Minireviews
Article Title Artificial intelligence and machine learning in colorectal cancer
Manuscript Source Invited Manuscript
All Author List Muhammad Awidi and Arindam Bagga
Funding Agency and Grant Number
Corresponding Author Muhammad Awidi, MD, Academic Fellow, Internal Medicine, Beth Israel Lahey Health, 41 Mall Road, Burlington, MA 01805, United States. muhammadawidi@gmail.com
Key Words Artificial intelligence; Machine learning; Colonic polyps; Colorectal neoplasms; Computer-aided diagnosis; Precision oncology
Core Tip Artificial intelligence (AI) and its potential in diagnosing colorectal cancer have been the subject of various reviews in the literature. However, this review reports the most recent discoveries and studies on artificial and machine learning in colorectal cancer screening, diagnosis, and treatment, as well as the future roles that AI applications may play in assisting in the treatment of colorectal cancer. Furthermore, this review talks about prospects and constraints for the use of AI systems, as well as the need for large-scale randomized clinical trials to examine AI algorithms before they can be implemented.
Citation Awidi M, Bagga A. Artificial intelligence and machine learning in colorectal cancer. Artif Intell Gastrointest Endosc 2022; 3(3): 31-43
Received
2022-01-17 03:13
Peer-Review Started
2022-01-17 03:14
To Make the First Decision
Return for Revision
2022-03-08 13:35
Revised
2022-03-24 23:14
Second Decision
2022-06-17 03:04
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-06-20 18:23
Articles in Press
2022-06-20 18:23
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-06-27 07:08
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) 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 05388315, 06190308, 05476667, and 05476667
Editorial Director
Journal Chief Editor
Company Chief Editor Li Ma
Language Editor
Production Editor Yi-Xuan Cai
Responsible Production Editor Yi-Xuan Cai
Responsible Science Editor
Proofing Editorial Director Jin-Lei Wang
Proofing Editor-in-Chief Lian-Sheng Ma
Full Article (PDF) AIGE-3-31.pdf
Full Article (Word) AIGE-3-31.docx
Manuscript File 75143_Auto_Edited_LM.docx
Answering Reviewers 75143-Answering reviewers.pdf
Audio Core Tip 75143-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 75143-Conflict-of-interest statement.pdf
Copyright License Agreement 75143-Copyright license agreement.pdf
Peer-review Report 75143-Peer-review(s).pdf
Scientific Misconduct Check 75143-Bing-Liu JH-2.jpg
Scientific Misconduct Check 75143-CrossCheck.jpg
Scientific Editor Work List 75143-Scientific editor work list.pdf