Artificial Intelligence and Radiomics to Predict Hepatocellular Carcinoma Risk in Cirrhosis Patients

The National Institute of Diabetes and Digestive and Kidney Diseases is conducting research using radiographic imaging and artificial intelligence to evaluate liver cancer risk in patients with advanced liver disease or cirrhosis. The research focuses on the use of imaging data and artificial intelligence to improve prediction of liver cancer risk, evaluate liver cancer recurrence following curative therapy, and support translational research related to liver disease and liver cancer. • The research will utilize a clinical patient cohort, associated radiographic imaging datasets, and de-identified radiology reports from the University of Pennsylvania. • The University of Pennsylvania will provide a clinical cohort of patients who underwent liver transplantation for hepatocellular carcinoma, together with associated magnetic resonance imaging studies, radiology reports, and related clinical data necessary for research analysis and model development. • The research aims to improve prediction of liver cancer risk and evaluate liver cancer recurrence following curative therapy.