ArticleFrontiers in medicine2026
A new direction in personalized medicine: multimodal joint prediction of hepatic encephalopathy risk post-TIPS.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Artificial Intelligence for Personalized Prediction of Post-TIPS Outcomes: Integrating Clinical, Biochemical, and Radiomics Data-A Narrative Review.Journal of clinical medicine · 2026Review
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Authors and funding
7 authors.
Funding
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Abstract
Background: Overt hepatic encephalopathy (OHE) is a common complication after transjugular intrahepatic portosystemic shunt (TIPS), adversely affecting quality of life. This study aimed to develop a predictive model integrating manual imaging, radiomics, and clinical data to forecast OHE within 1 year post-TIPS. Methods: This retrospective study included 338 patients who underwent TIPS between November 2015 and January 2022, divided into training and validation sets (7:3). Feature selection was performed using Chi-square test, Results: Within 1 year after TIPS, 79 (33.4%) participants in the training group and 34 (33.3%) participants in validation group developed OHE. Three independent models and one combined model were established and evaluated in terms of their performance. The areas under the ROC curve of Model M, Model R, Model C, and Model MRC were 0.858 (95% CI: 0.809-0.907), 0.744 (95% CI: 0.681-0.808), 0.757 (95% CI: 0.692-0.821), and 0.902 (95% CI: 0.863-0.941), respectively. F1 scores were 0.861, 0.765, 0.797, and 0.891, respectively. Model MRC demonstrated superior performance compared to the other three models. Conclusion: Model MRC exhibited a considerable predictive ability for OHE within the first year after TIPS.
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