Publication Name	World Journal of Gastroenterology
Manuscript ID	111428
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence and machine learning-driven advancements in gastrointestinal cancer: Paving the way for precision medicine
Manuscript Source	Invited Manuscript
All Author List	Chahat Suri, Yashwant K Ratre, Babita Pande, LVKS Bhaskar and Henu K Verma
Funding Agency and Grant Number
Corresponding Author	Henu K Verma, Senior Postdoctoral Fellow, Department of Bioscience and Biomedical engineering Indian Institute of Technology, Kutelabhata, Bhilai 491002, Chhattisgarh, India. henu.verma@yahoo.com
Key Words	Artificial intelligence; Gastrointestinal cancer; Precision medicine; Multimodal detection; Machine learning
Core Tip	Gastrointestinal (GI) cancers remain a major global health burden, demanding better early detection and personalized treatments. Recent artificial intelligence (AI) advances enable precision oncology by integrating diverse data from endoscopic images to genomic profiles. AI-driven tools enhance polyp detection, tumor grading, and multi-omics analysis for tailored therapies. Despite challenges in standardization and clinical adoption, these innovations promise to reduce diagnostic disparities and improve outcomes in GI cancer care.
Citation	Suri C, Ratre YK, Pande B, Bhaskar L, Verma HK. Artificial intelligence and machine learning-driven advancements in gastrointestinal cancer: Paving the way for precision medicine. World J Gastroenterol 2025; In press

Received	2025-07-10 06:24
Peer-Review Started	2025-07-10 06:24
To Make the First Decision
Return for Revision	2025-08-14 08:49
Revised	2025-08-23 16:57
Second Decision	2025-11-20 02:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-11-20 10:06
Articles in Press	2025-11-20 10:06
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (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: https://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