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 [DOI: 10.35713/aic.v7.i1.114273]
Corresponding Author of This Article
Jiang-Hong Ling, MD, Department of Gastroenterology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528 Zhangheng Road, Shanghai 201203, China. ljh18817424778@163.com
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Medical Informatics
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review-article
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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 [DOI: 10.35713/aic.v7.i1.114273]
Synergistic applications of artificial intelligence and organoid technology in gastric precancerous lesion research: Mechanisms, translation, and challenges
Chen-Heng Wu, Department of Digestive Endoscopy, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
Jun-Xin Qiu, Yue-Bo Jia, Yi Quan, Chang Liu, Jiang-Hong Ling, Department of Gastroenterology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
Co-first authors: Chen-Heng Wu and Jun-Xin Qiu.
Co-corresponding authors: Chang Liu and Jiang-Hong Ling.
Author contributions: Wu CH and Ling JH conceived the review topic and designed the framework; Ling JH and Liu C supervised the entire work; Wu CH and Qiu JX are performed literature search, data interpretation, critical analysis, and drafted the manuscript. All authors contributed to revision and approved the final version. Wu CH and Qiu JX contributed equally to this work as co-first authors. The designation of Ling JH and Liu C as co-corresponding authors is a direct reflection of their complementary and equally critical leadership roles in the conception, execution, and synthesis of this review article. Ling JH's contribution was foundational and strategic. She provided the original intellectual vision and drive that conceived the review topic. Furthermore, she was primarily responsible for establishing the overarching intellectual framework by designing the review's structure, ensuring a coherent and logical flow of concepts. She is the key person overseeing the long-term direction of this research theme. Liu C's contribution was pivotal in translating the initial idea into a tangible, high-quality manuscript. She played a leading role in the day-to-day supervision of the literature search, data interpretation, and critical analysis processes. She provided hands-on guidance during the drafting of the manuscript and coordinated the integration of all authors' feedback during the revision phase. In summary, Ling JH served as the architect of the project's core idea and structure, while Liu C acted as the project lead who guided its detailed development and execution. Both roles were indispensable for the successful completion of this work. This dual-correspondence structure ensures that the scientific community can effectively address inquiries related to both the broad conceptual framework (directed to Ling JH) and the specific analytical methodologies and manuscript synthesis (directed to Liu C). We confirm that both authors have approved this designation.
Supported by National TCM Advantageous Specialty Project of National Administration of Traditional Chinese Medicine: State Medical Letter on Chinese Medicine, No.[2024]90; and Shuguang Hospital Siming Foundation Research Special Project, No. SGKJ-202304.
Conflict-of-interest statement: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Corresponding author: Jiang-Hong Ling, MD, Department of Gastroenterology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528 Zhangheng Road, Shanghai 201203, China. ljh18817424778@163.com
Received: September 15, 2025 Revised: October 6, 2025 Accepted: January 12, 2026 Published online: September 8, 2026 Processing time: 351 Days and 23 Hours
Abstract
Gastric precancerous lesions (GPLs) are critical stages in gastric carcinogenesis, where early and precise identification and intervention are pivotal for improving patient prognosis. Recent advancements in artificial intelligence (AI) and organoid technology have revolutionized GPL research, with their synergistic applications progressively overcoming limitations of traditional methodologies. This review systematically summarizes the latest progress in AI and organoid technology for GPLs, focusing on mechanistic exploration, diagnostic optimization, and therapeutic innovation. We highlight how AI enhances diagnostic accuracy in endoscopy and pathology, while organoids provide unparalleled models for studying disease progression and drug screening. Critically, we discuss the pioneering integration of both technologies, wherein AI analyzes dynamic organoid phenotypes and fuses multimodal data for risk prediction. Current challenges hindering clinical translation, such as data standardization and model interpretability, are critically examined. We conclude that the future of GPL management lies in harnessing this synergy through interdisciplinary collaboration, which is poised to bridge the bench-to-bedside gap and usher in a new paradigm of mechanism-based precision prevention for gastric cancer.
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.
