From scoring to artificial intelligence:the evolution and challenges in predicting hepatic encephalopathy after TIPS
10.3969/j.issn.1008-794X.2025.05.001
- VernacularTitle:从评分到人工智能——经颈静脉肝内门体分流术后肝性脑病预测的演变与挑战
- Author:
Xiaoze WANG
1
;
Xiao LI
Author Information
1. 610041 四川成都 四川大学华西医院消化内科
- Keywords:
transjugular intrahepatic portosystemic shunt;
hepatic encephalopathy;
artificial intelligence;
prediction model
- From:
Journal of Interventional Radiology
2025;34(5):449-455
- CountryChina
- Language:Chinese
-
Abstract:
This paper discusses the factors influencing the occurrence of hepatic encephalopathy(HE)after transjugular intrahepatic portosystemic shunt(TIPS)and the prediction methods for HE,focusing on the potential and challenges of artificial intelligence(AI)technology in predicting HE after TIPS.The related factors including patient's baseline characteristics,TIPS-related parameters,and other related factors are systematically summarized,and the accuracy of the traditional scoring systems such as Child-Pugh score,Model for End-Stage Liver Disease(MELD)score,and albumin-bilirubin(ALBI)score in predicting HE is evaluated.Besides,the mechanism by which AI techniques improve prediction accuracy through processing multidimensional datasets is discussed,and the advantages of AI model and its challenges in clinical application are also introduced.This paper emphasizes the importance of constructing comprehensive dynamic prediction models so as to improve the quality of life and survival rate of patients after TIPS.
