Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	75143
Country	United States

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 Executive 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
Publish the Manuscript Online	2022-06-28 02:06

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/
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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
ORCID	Author(s) ORCID Number Muhammad Awidi http://orcid.org/0000-0002-4205-8417 Arindam Bagga http://orcid.org/0000-0003-3096-177X
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.
Publish Date	2022-06-28 02:06
Citation	Awidi M, Bagga A. Artificial intelligence and machine learning in colorectal cancer. Artif Intell Gastrointest Endosc 2022; 3(3): 31-43
URL	https://www.wjgnet.com/2689-7164/full/v3/i3/31.htm
DOI	https://dx.doi.org/10.37126/aige.v3.i3.31

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
CrossCheck Report	75143-CrossCheck report.pdf