Publication Name	Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID	90723
Country	United Kingdom

Category	Surgery
Manuscript Type	Minireviews
Article Title	Role of artificial intelligence in colorectal cancer
Manuscript Source	Invited Manuscript
All Author List	Gita Lingam, Taner Shakir, Rawen Kader and Manish Chand
Funding Agency and Grant Number
Corresponding Author	Taner Shakir, BSc, MBChB, Research Fellow, Surgeon, Department of Colorectal Surgery, University College London, Charles Bell House, 43-45 Foley St, London W1W 7TY, United Kingdom. taner.shakir.23@ucl.ac.uk
Key Words	Artificial intelligence; Colorectal cancer; Pre-operative; Intra-operative; Post-operative; Adjuncts; Colonoscopy
Core Tip	We reviewed the role of artificial intelligence (AI) in colorectal cancer as a whole. Divided into pre-operative, intra-operative and post-operative, we identified a number of adjuncts that can help the clinician. Endoscopic detection and diagnosis are two of the mainstays of AI in this field, however there are a number of other adjuncts that can help surgeons intraoperatively. These include identification of anatomy, and assessment of blood supply. Moreover, post-operative efficiency improvements with histopathological analysis can aid the clinician. Overall, these adjuncts are aimed at augmenting the clinicians experience to improve outcomes.
Citation	Lingam G, Shakir T, Kader R, Chand M. Role of artificial intelligence in colorectal cancer. Artif Intell Gastrointest Endosc 2024; In press

Received	2023-12-12 09:43
Peer-Review Started	2023-12-12 09:43
To Make the First Decision
Return for Revision	2024-04-10 06:10
Revised	2024-04-10 09:15
Second Decision	2024-04-19 02:43
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-04-19 07:18
Articles in Press	2024-04-19 07:18
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

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) 2024. 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