AI in Hepatology: Revolutionizing the Diagnosis and Management of Liver Disease
Department
Internal Medicine
Document Type
Article
Publication Title
Journal of Clinical Medicine
Abstract
The integration of artificial intelligence (AI) into hepatology is revolutionizing the diagnosis and management of liver diseases amidst a rising global burden of conditions like metabolic-associated steatotic liver disease (MASLD). AI harnesses vast datasets and complex algorithms to enhance clinical decision making and patient outcomes. AI's applications in hepatology span a variety of conditions, including autoimmune hepatitis, primary biliary cholangitis, primary sclerosing cholangitis, MASLD, hepatitis B, and hepatocellular carcinoma. It enables early detection, predicts disease progression, and supports more precise treatment strategies. Despite its transformative potential, challenges remain, including data integration, algorithm transparency, and computational demands. This review examines the current state of AI in hepatology, exploring its applications, limitations, and the opportunities it presents to enhance liver health and care delivery.
First Page
7833
DOI
10.3390/jcm13247833
Volume
13
Issue
24
Publication Date
12-22-2024
PubMed ID
39768756
Recommended Citation
Malik, S., Das, R., Thongtan, T., Thompson, K., & Dbouk, N. (2024). AI in Hepatology: Revolutionizing the Diagnosis and Management of Liver Disease. Journal of Clinical Medicine, 13 (24), 7833. https://doi.org/10.3390/jcm13247833