Bibliometrics of artificial intelligence applications in hepatobiliary surgery from 2014 to 2024
This 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.
Authors
- Yue Hu (ORCID: https://orcid.org/0000-0002-9384-424X)
- Hui‐Ching Lin (ORCID: https://orcid.org/0000-0002-1639-9293)
- Yamei Luo (ORCID: https://orcid.org/0009-0003-5937-3346)
- Song Su (ORCID: https://orcid.org/0000-0001-9119-4995)
- Fan Li (ORCID: https://orcid.org/0000-0003-0936-4882)
- Junfeng Wang (ORCID: https://orcid.org/0000-0002-9608-6851)
- Yong Tang (ORCID: https://orcid.org/0000-0002-5886-5520)
- D X Li (ORCID: https://orcid.org/0009-0002-3368-2282)
- Rujun Zheng
Institutions
- Sichuan University (CN)
- Science and Technology Department of Sichuan Province (CN)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- World Journal of Gastrointestinal Surgery
- Published
- 2025-05-23
- DOI
- https://doi.org/10.4240/wjgs.v17.i5.104728
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72