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9/2/2026 6:35:30 AM | Browse: 1 | Download: 0
Publication Name Artificial Intelligence in Cancer
Manuscript ID 114273
Country China
Received
2025-09-15 07:53
Peer-Review Started
2025-09-15 07:53
First Decision by Editorial Office Director
2025-09-23 09:40
Return for Revision
2025-09-23 09:40
Revised
2025-10-06 21:34
Publication Fee Transferred
Second Decision by Editor
2026-01-12 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-12 04:06
Articles in Press
2026-01-12 04:06
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-03-13 01:51
Publish the Manuscript Online
2026-09-02 06:35
ISSN 2644-3228 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Medical Informatics
Manuscript Type Review
Article Title Synergistic applications of artificial intelligence and organoid technology in gastric precancerous lesion research: Mechanisms, translation, and challenges
Manuscript Source Invited Manuscript
All Author List Chen-Heng Wu, Jun-Xin Qiu, Yue-Bo Jia, Yi Quan, Chang Liu and Jiang-Hong Ling
ORCID
Author(s) ORCID Number
Yue-Bo Jia http://orcid.org/0000-0002-7419-9214
Chang Liu http://orcid.org/0000-0001-9649-6917
Jiang-Hong Ling http://orcid.org/0000-0001-7550-9694
Funding Agency and Grant Number
Funding Agency Grant Number
National TCM Advantageous Specialty Project of National Administration of Traditional Chinese Medicine State Medical Letter on Chinese Medicine [2024]90
Shuguang Hospital Siming Foundation Research Special Project SGKJ-202304
Corresponding Author Jiang-Hong Ling, Department of Gastroenterology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528 Zhangheng Road, Shanghai 201203, China. ljh18817424778@163.com
Key Words Gastric precancerous lesions; Artificial intelligence; Organoids; Integrative research; Precision medicine
Core Tip We propose a transformative paradigm: Using artificial intelligence to decipher dynamic organoid phenotypes for forecasting gastric cancer (GC) risk. This review details how this synergy, which integrates high-throughput organoid screening with multimodal clinical data, unlocks the “black box” of disease progression. It empowers a shift from reactive diagnosis to proactive, mechanism-based precision prevention, ultimately pioneering a new era where GC is preemptively intercepted rather than treated.
Publish Date 2026-09-02 06:35
Citation

Wu CH, Qiu JX, Jia YB, Quan Y, Liu C, Ling JH. Synergistic applications of artificial intelligence and organoid technology in gastric precancerous lesion research: Mechanisms, translation, and challenges. Artif Intell Cancer 2026; 7(1): 114273

URL https://www.wjgnet.com/2644-3228/full/v7/i1/114273.htm
DOI https://doi.org/10.35713/aic.v7.i1.114273
Full Article (PDF) AIC-7-114273-with-cover.pdf
Manuscript File 114273_Auto_Edited_081150-YJP.docx
Answering Reviewers 114273-answering-reviewers.pdf
Audio Core Tip 114273-audio.m4a
Conflict-of-Interest Disclosure Form 114273-conflict-of-interest-statement.pdf
Copyright License Agreement 114273-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 114273-non-native-speakers.pdf
Peer-review Report 114273-peer-reviews.pdf
Scientific Misconduct Check 114273-scientific-misconduct-check.png
CrossCheck Report 114273-crosscheck-report.pdf