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<p>To systematically analyze the current status and future trends of artificial intelligence (AI) in gastrointestinal surgery from July 2015 to July 2025 through bibliometrics. Based on the Web of Science Core Collection database, this study retrieved relevant literature from July 13, 2015 to July 13, 2025, and used CiteSpace and VOSviewer software to visualize 1697 articles by country/region, institution, author, journal, fund and keyword. The results show that the number of publications in this field peaked in 2024, with 378 papers and 30,555 cumulative citations. China emerges as the predominant contributor to research output, with 797 papers, 14,075 citations, and an average of 17.66 citations per paper. However, the United States exhibits a higher average citation count per paper, at 26.62, and 6523 total citations. Notably, Tian Jie, with 1921 citations, and Li Jing, with 31 publications, are prominent scholars from China in this domain. Keyword analysis reveals a transition from foundational AI algorithms to clinical precision applications. While China holds a leading position in terms of research output, there is a need for enhancement in research quality. The field is currently experiencing an upward trajectory, with future research likely to focus on advancements in AI-assisted individualized precision medicine.</p>

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Bibliometric visualization analysis of the application of artificial intelligence in gastrointestinal surgery recent 10 years

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月9日

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  • Xu Wang,
  • Mengya Dong

摘要

To systematically analyze the current status and future trends of artificial intelligence (AI) in gastrointestinal surgery from July 2015 to July 2025 through bibliometrics. Based on the Web of Science Core Collection database, this study retrieved relevant literature from July 13, 2015 to July 13, 2025, and used CiteSpace and VOSviewer software to visualize 1697 articles by country/region, institution, author, journal, fund and keyword. The results show that the number of publications in this field peaked in 2024, with 378 papers and 30,555 cumulative citations. China emerges as the predominant contributor to research output, with 797 papers, 14,075 citations, and an average of 17.66 citations per paper. However, the United States exhibits a higher average citation count per paper, at 26.62, and 6523 total citations. Notably, Tian Jie, with 1921 citations, and Li Jing, with 31 publications, are prominent scholars from China in this domain. Keyword analysis reveals a transition from foundational AI algorithms to clinical precision applications. While China holds a leading position in terms of research output, there is a need for enhancement in research quality. The field is currently experiencing an upward trajectory, with future research likely to focus on advancements in AI-assisted individualized precision medicine.