| ISSN |
1948-5182 (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: https://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
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
Global trends in artificial intelligence applications in liver disease over seventeen years
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xue-Qin Zhou, Shu Huang, Xia-Min Shi, Sha Liu, Wei Zhang, Lei Shi, Mu-Han Lü and Xiao-Wei Tang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Natural Science Foundation of Sichuan Province |
No. 2022NSFSC1378 |
|
| Corresponding Author |
Xiao-Wei Tang, PhD, Professor, Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Luzhou 646099, Sichuan Province, China. solitude5834@hotmail.com |
| Key Words |
Artificial intelligence; Liver disease; Hepatocellular carcinoma; Liver fibrosis; Bibliometric analysis |
| Core Tip |
This study highlights the increasing annual publications on artificial intelligence in liver disease, with applications spanning risk assessment, diagnosis, treatment, and prognosis. China leads in publication output, whereas the United States remains a dominant force in the field. High-impact journals, authors, and institutions are identified, along with trends in international collaboration. Key research hotspots include "machine learning", "deep learning", "convolutional neural networks", "CT imaging", and "microvascular infiltration". |
| Publish Date |
2025-03-26 04:06 |
| Citation |
<p>Zhou XQ, Huang S, Shi XM, Liu S, Zhang W, Shi L, Lü MH, Tang XW. Global trends in artificial intelligence applications in liver disease over seventeen years. <i>World J Hepatol</i> 2025; 17(3): 101721</p> |
| URL |
https://www.wjgnet.com/1948-5182/full/v17/i3/101721.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v17.i3.101721 |
