Evidence map›Paper›PMID 40502490›Full record

ArticleWorld journal of gastrointestinal surgery2025

Bibliometrics of artificial intelligence applications in hepatobiliary surgery from 2014 to 2024.

Ru-Jun Zheng, Dong-Lun Li, Hao-Min Lin, Jun-Feng Wang, Ya-Mei Luo, Yong Tang, Fan Li, Yue Hu, Song Su

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastrointestinal surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ru-Jun ZhengDepartment of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Dong-Lun LiDepartment of Nephrology, University Hospital Essen, University of Duisburg-Essen, Essen 45147, Germany.
Hao-Min LinDepartment of Hepatobiliary Pancreatic Surgery, Chengdu Sixth People's Hospital, Chengdu 610000, Sichuan Province, China.
Jun-Feng WangCollege of Computer Science, Sichuan University, Chengdu 610065, Sichuan Province, China.
Ya-Mei LuoSchool of Medical Information and Engineering, Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Yong TangSchool of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu 611731, Sichuan Province, China.
Fan LiCollege of Artificial Intelligence (CUIT Shuangliu Industrial College), Chengdu University of Information Technology, Chengdu 610225, Sichuan Province, China.
Yue HuDepartment of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Song SuDepartment of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, the rapid development of artificial intelligence (AI) in hepatobiliary surgery research has led to an increase in articles exploring its benefits. We performed a bibliometric analysis of AI applications in hepatobiliary surgery to better delineate the contemporary state of AI application in hepatobiliary surgery and potential future trajectories.

aimTo provide clinical practitioners with a reliable reference point. It offers a detailed overview of the development of AI in hepatobiliary surgery by systematically examining the contributions of authors, countries, institutions, journals, and keywords in this domain over the last 10 years.

methodsThe academic resources utilized in this study were obtained from the Web of Science Core Collection database. The search results were subsequently integrated and imported into CiteSpace and VOSviewer software for the purpose of visual analysis.

resultsThe study analyzed 2552 publications during 2014-2024. These publications collectively garnered 32 628 citations, averaging 15.66 citations per paper. The top contributor to this field was China. The USA had the highest citation count. The author with the highest citation count was Summers RM. In terms of the number of articles published, the leading journals were

conclusionThis bibliometric analysis indicates that research on AI in hepatobiliary surgery has entered a period of rapid development, particularly in the domain of disease imaging diagnostics.

Indexed as

Artificial intelligenceBibliometricsComputed tomographyDeep learningHepatobiliary surgery

Identifiers

PMID40502490
PMCPMC12149915

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.