ReviewUpdates in surgery2026
Bibliometric visualization analysis of the application of artificial intelligence in gastrointestinal surgery recent 10 years.
Review in Updates in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.