Copyright
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastrointest Endosc. Jun 28, 2022; 3(3): 31-43
Published online Jun 28, 2022. doi: 10.37126/aige.v3.i3.31
Published online Jun 28, 2022. doi: 10.37126/aige.v3.i3.31
Artificial intelligence and machine learning in colorectal cancer
Muhammad Awidi, Internal Medicine, Beth Israel Lahey Health, Burlington, MA 01805, United States
Arindam Bagga, Internal Medicine, Tufts Medical Center, Boston, MA 02111, United States
Author contributions: Awidi M and Bagga A contributed equally to the work; All authors have read and approve the final manuscript.
Conflict-of-interest statement: There is no conflict of interest associated with any of the authors who contributed their efforts to this manuscript.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Muhammad Awidi, MD, Academic Fellow, Internal Medicine, Beth Israel Lahey Health, 41 Mall Road, Burlington, MA 01805, United States. muhammadawidi@gmail.com
Received: January 17, 2022
Peer-review started: January 17, 2022
First decision: March 8, 2022
Revised: March 24, 2022
Accepted: June 20, 2022
Article in press: June 20, 2022
Published online: June 28, 2022
Peer-review started: January 17, 2022
First decision: March 8, 2022
Revised: March 24, 2022
Accepted: June 20, 2022
Article in press: June 20, 2022
Published online: June 28, 2022
Core Tip
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.