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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Cancer. Dec 8, 2023; 4(2): 11-22
Published online Dec 8, 2023. doi: 10.35713/aic.v4.i2.11
Published online Dec 8, 2023. doi: 10.35713/aic.v4.i2.11
Artificial intelligence in rectal cancer: What is the future?
Alka Yadav, Ashok Kumar, Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, UP, India
Author contributions: Yadav A wrote the manuscript; Kumar A conceptualized the idea, searched articles, and revised the manuscript.
Conflict-of-interest statement: All the authors declare that they have no conflict of interest.
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: Ashok Kumar, BSc, FASCRS, FRCS, FRCS (Ed), FRCS (Hon), MBBS, MCh, MS, Professor, Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow 226014, UP, India. doc.ashokgupta@gmail.com
Received: July 15, 2023
Peer-review started: July 15, 2023
First decision: September 4, 2023
Revised: September 18, 2023
Accepted: September 25, 2023
Article in press: September 25, 2023
Published online: December 8, 2023
Processing time: 144 Days and 16.3 Hours
Peer-review started: July 15, 2023
First decision: September 4, 2023
Revised: September 18, 2023
Accepted: September 25, 2023
Article in press: September 25, 2023
Published online: December 8, 2023
Processing time: 144 Days and 16.3 Hours
Core Tip
Core Tip: Early diagnosis and treatment decision making in rectal cancer significantly affects the outcome, which is multidisciplinary team approach and not without errors and bias. Newer technology artificial intelligence, has been found to be useful in early diagnosis, accurate staging, treatment planning and assessment of treatment response, however its evolving. The present review focuses its current role and future implications in the management of rectal cancer.