Personalized surveillance for hepatocellular carcinoma in cirrhosis – using machine learning adapted to HCV status

•HCC surveillance programs must be refined and personalized according to liver cancer incidence.•Machine learning algorithms can individually assess HCC risk by revealing complex interactions between cancer predictors.•Their application in patients with HCV-related cirrhosis enabled the identification of novel HCC risk classes.•This stratification differs according to SVR status.•These approaches could enable personalized and cost-effective HCC surveillance programs for HCV-related cirrhosis.