Multi-task deep learning method predicts prognosis in hepatitis B virus-related acute-on-chronic liver failure using ultrasound images, suggesting new diagnostic tools.
Background Individualized risk stratification in hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) remains challenging. This study aimed to develop and validate a multi-task deep learning model using longitudinal liver ultrasound images for prognosis prediction.
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Huang et al. (2025) studied this question.
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