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Publication Name Artificial Intelligence in Cancer
Manuscript ID 114273
Country China
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
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.
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; In press
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
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/
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