Abstract
Artificial intelligence and machine learning are transforming hepatology by integrating clinical, laboratory, imaging, and wearable data for earlier diagnosis, risk prediction, and patient management. These technologies enable personalized care and noninvasive monitoring across metabolic dysfunction-associated steatotic liver disease, cirrhosis, hepatitis C, liver transplantation, and hepatocellular carcinoma. Ongoing advances in digital health and interpretability will enhance adoption and outcomes.
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