Abstract
Machine learning has been more and more widely used in the medical field in recent years, and new advances have been made in the diagnosis and treatment of breast cancer, diabetic retinopathy, neuropsychiatric diseases, and atherosclerosis. Machine learning is showing great potential in the diagnosis and prediction of liver diseases. With reference to patients' serological markers and imaging findings, the model established based on machine learning for the diagnosis and prediction of hepatitis B virus (HBV)-related liver diseases has been widely recognized. This article introduces the application, current status, advantages, and advances of machine learning in HBV-related liver diseases.
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