| ISSN |
1948-9366 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Scientometrics |
| Article Title |
Bibliometrics of artificial intelligence applications in hepatobiliary surgery from 2014 to 2024
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ru-Jun Zheng, Dong-Lun Li, Hao-Min Lin, Jun-Feng Wang, Ya-Mei Luo, Yong Tang, Fan Li, Yue Hu and Song Su |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Key Research and Development Program of China |
2023YFC3605202 |
| Project of the Central Government in Guidance of Local Science and Technology Development |
2024ZYD0270 |
| Luzhou Science and Technology Bureau |
2024SYF156 |
|
| Corresponding Author |
Song Su, MD, Professor, Department of General Surgery (Hepatopancreatobiliary Surgery), The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Luzhou 646000, Sichuan Province, China. 13882778554@163.com |
| Key Words |
Artificial intelligence; Hepatobiliary surgery; Bibliometrics; Deep learning; Computed tomography |
| Core Tip |
In this study, we performed a bibliometric analysis of artificial intelligence applications in hepatobiliary surgery to better delineate the contemporary state of artificial intelligence application in hepatobiliary surgery, its evolution over recent years, and potential future trajectories. At the same time, we use visual maps to list in detail the current development trends and research status of artificial intelligence, and provide practitioners with hot spots and give a better understanding of the current situation in this field. |
| Publish Date |
2025-05-23 08:05 |
| Citation |
<p>Zheng RJ, Li DL, Lin HM, Wang JF, Luo YM, Tang Y, Li F, Hu Y, Su S. Bibliometrics of artificial intelligence applications in hepatobiliary surgery from 2014 to 2024. <i>World J Gastrointest Surg</i> 2025; 17(5): 104728</p> |
| URL |
https://www.wjgnet.com/1948-9366/full/v17/i5/104728.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v17.i5.104728 |
