SYSTEMATIC REVIEW article
Front. Oncol.
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1591655
Global research hotspots and trends in the application of artificial intelligence in gastric cancer: a bibliometric analysis from 2005 to 2024
Provisionally accepted
- 1Changchun University of Chinese Medicine, Changchun, China
- 2The Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, Jilin Province, China
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Background: Gastric cancer (GC) is a prevalent gastrointestinal malignancy. In recent years, the application of artificial intelligence (AI) in GC has become increasingly widespread. This study aims to employ bibliometric analysis to offer valuable insights for researchers. Methods: Publications concerning the application of AI in GC between 2005 and 2024 were retrieved from the Web of Science Core Collection. Subsequently, VOSviewer, CiteSpace, and Scimago Graphica were employed to conduct the bibliometric analysis of the selected literature. Results: A total of 903 publications were included in this study. In the past two decades, the application of AI in GC has become more widely used, and the number of papers published has shown a rapid growth trend. China, Japan, and South Korea are the most prolific countries in this field. Yonsei University, the Chinese Academy of Sciences, and Shanghai Jiao Tong University are the three institutions with the most publications. Surgical Endoscopy and Other Interventional Techniques is the most published journal and also the most cited journal. Woo Jin Hyung from Yonsei University is both the most prolific author and the author with the highest H-index. Gastric cancer, surgery, and artificial intelligence are the three keywords most used. The keywords "upper gastrointestinal endoscopy" and "artificial intelligence" have been prominent until now. Conclusion: This study offers a comprehensive visual overview of the application of AI in GC over the past two decades. AI-assisted screening, diagnosis, and prognosis prediction in GC are anticipated to represent focal points of future research in this domain.
Keywords: artificial intelligence, gastric cancer, Bibliometrics, Citespace, VOSviewer
Received: 11 Mar 2025; Accepted: 30 Sep 2025.
Copyright: © 2025 Chen, Zhao, Liu, Kong, Zhou and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Dan Zhou, cczhoudan126@126.com
Fuchun Wang, fuchenwang420@126.com
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