Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	111339
Country	China

Received	2025-07-01 09:30
Peer-Review Started	2025-07-01 09:30
To Make the First Decision
Return for Revision	2025-07-24 08:52
Revised	2025-07-28 09:36
Second Decision	2025-08-27 02:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-08-27 08:40
Articles in Press	2025-08-27 08:40
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-10-08 09:36
Publish the Manuscript Online	2025-10-14 07:42

ISSN	1948-5204 (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/
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Category	Oncology
Manuscript Type	Minireviews
Article Title	Revolutionizing gastrointestinal cancer research with artificial intelligence: From precision patient stratification to real-world evidence
Manuscript Source	Invited Manuscript
All Author List	Zhe Wang, Rui-Ying Zhang, Cheng Ji, Jia-Yi Zhang, Bing-Tong Yue and Feng Wang
ORCID	Author(s) ORCID Number Zhe Wang http://orcid.org/0009-0007-4407-0958 Rui-Ying Zhang http://orcid.org/0009-0003-3332-1855 Cheng Ji http://orcid.org/0009-0006-7290-5417 Jia-Yi Zhang http://orcid.org/0009-0001-1160-6644 Bing-Tong Yue http://orcid.org/0009-0000-6458-0612 Feng Wang http://orcid.org/0000-0003-3335-5943
Funding Agency and Grant Number
Corresponding Author	Feng Wang, MD, PhD, Professor, Senior Researcher, Senior Scientist, Department of Oncology, The First Affiliated Hospital of Zhengzhou University, No.50 Eastern Jianshe Road, Zhengzhou 450052, Henan Province, China. zzuwangfeng@zzu.edu.cn
Key Words	Artificial intelligence; Gastrointestinal cancer; Patient stratification; Clinical trials; Real-world evidence
Core Tip	Artificial intelligence (AI) is reshaping gastrointestinal cancer research by improving patient stratification, streamlining clinical trial design, and enabling real-world data integration. This review highlights how AI can accelerate trial timelines, enhance precision, and support remote monitoring, while also addressing key challenges in data standardization and ethical implementation.
Publish Date	2025-10-14 07:42
Citation	<p>Wang Z, Zhang RY, Ji C, Zhang JY, Yue BT, Wang F. Revolutionizing gastrointestinal cancer research with artificial intelligence: From precision patient stratification to real-world evidence. <i>World J Gastrointest Oncol</i> 2025; 17(10): 111339</p>
URL	https://www.wjgnet.com/1948-5204/full/v17/i10/111339.htm
DOI	https://dx.doi.org/10.4251/wjgo.v17.i10.111339

Full Article (PDF)	WJGO-17-111339-with-cover.pdf
Manuscript File	111339_Auto_Edited_032754.docx
Answering Reviewers	111339-answering-reviewers.pdf
Audio Core Tip	111339-audio.mp3
Conflict-of-Interest Disclosure Form	111339-conflict-of-interest-statement.pdf
Copyright License Agreement	111339-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	111339-non-native-speakers.pdf
Peer-review Report	111339-peer-reviews.pdf
Scientific Misconduct Check	111339-scientific-misconduct-check.png
Scientific Editor Work List	111339-scientific-editor-work-list.pdf
CrossCheck Report	111339-crosscheck-report.pdf