ORIGINAL RESEARCH article
Front. Med.
Sec. Gastroenterology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1600291
This article is part of the Research Topic25 Years of 21st Century MedicineView all 6 articles
The Global Academic Distribution and Changes in Research Hotspots of Artificial Intelligence in Inflammatory Bowel Disease since 2000
Provisionally accepted
- 1Medical College, Yangzhou University, Yangzhou, China
- 2Department of Medical Imaging, Jiangsu Subei People's Hospital, Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
- 3Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, Jiangsu Province, China
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Background: Artificial intelligence (AI) has gained widespread attention because offor its potential applications in the clinical management of inflammatory bowel disease (IBD). However, there is currently a lack of bibliometric analyseis of the literature published in this field are currently lacking. TThis study aimed toaims to characterizedescribe the development trends and identify research hotspots in the application of AI to IBD through a bibliometric approachresearch hotspots of AI in IBD through bibliometric analysis. Methods: Literature related to the application of AI in IBD, published betweenfrom 2000 andto 2024, was retrieved from the Web of Science Core Collection (WoSCC). Microsoft Office Excel 2021 was used to for the analyzeanalysis and visualizevisualization of the annual number of publications. Charticulator was utilized to create country crosschord charts. CiteSpace was employed to visualize collaboration networks among authors, institutions, and countries, as well as to generate timeline visualizations and perform a burst analysis ofn references and keywords. Results: The bibliometric analysis included 1,136 publications published between the years 2000 and from 2000 to 2024. The number of annual publications showed a rapid growth trend. T The country and institution with the most published papers were the USA (n=337) and Harvard University (n=47) had the most published papers., respectively. Stidham, Ryan W. (n = 21) published the highest number ofthe most articles. The core journals shaping the field included Scientific Reports, InflammatoryBowel Diseases, and PLoS One. The timeline view and burst analysis of references and keywords revealed that the research hotspots after 2020 focused on radiomics, endoscopy, natural language processing (NLP), and personalized medicine after 2020.An growingincreasing number of researchers have are engaged indedicated to exploring the application of AI in IBD, with the USA contributing the most toin this field. Currently, the research hotspots mainly involve radiomics, endoscopy, NLP, and personalized medicine. ThisOur study provides valuable information for researchers evaluating the application ofscholars researching AI in IBD.
Keywords: artificial intelligence, inflammatory bowel disease, Crohn's disease, ulcerative colitis, Bibliometric, Web of Science artificial intelligence, Web of Science
Received: 26 Mar 2025; Accepted: 17 Jun 2025.
Copyright: © 2025 Xu, Zou, Sun, Chen and Gao. 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: Sujun Gao, Medical College, Yangzhou University, Yangzhou, China
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