Peer-Review Report of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (799)
All Articles published online
|
Publishing Process of This Article
|
Dec 21, 2025 (publication date) through Mar 13, 2026
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| Lou JJ, Zeng J. Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects. World J Gastroenterol 2025; 31(47): 111900 [PMID: 41479749 DOI: 10.3748/wjg.v31.i47.111900] |
|
|
|
| ©2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA | |
| For: | Lou JJ, Zeng J. Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects. World J Gastroenterol 2025; 31(47): 111900 [PMID: 41479749 DOI: 10.3748/wjg.v31.i47.111900] |
|---|---|
| URL: | https://www.wjgnet.com/1948-5182/full/v31/i47/111900.htm |
| Number | Citing Articles |
| 1 |
Emek Guldogan, Burak Yagin, Hasan Ucuzal, Abdulmohsen Algarni, Fahaid Al-Hashem, Mohammadreza Aghaei. Explainable Meta-Learning Ensemble Framework for Predicting Insulin Dose Adjustments in Diabetic Patients: A Comparative Machine Learning Approach with SHAP-Based Clinical Interpretability. Medicina 2026; 62(3): 502 doi: 10.3390/medicina62030502
|