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Ultrasound-Based Prediction of Cirrhosis Decompensation Using Large-Scale Computer Vision Models
Decompensation represents a critical transition in the course of cirrhosis, yet clinicians have limited non-invasive tools to reliably predict its onset. In this study, we propose a novel imaging-based approach that leverages large-scale computer vision models to analyze routine abdominal ultrasound
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