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This model predicts hepatic encephalopathy risk in cirrhosis patients, highlighting the importance of clinical decision-making.
This novel model, developed by integrating abdominal multi-organ non-contrast CT radiomics and clinical features, demonstrates robust performance in predicting the occurrence of cirrhosis-related HE in patients with cirrhosis and hepatorenal failure. It thus provides a valuable tool for clinical decision-making, facilitating the prevention of this complication.
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Cao et al. (2025) studied this question.
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