Serologic Detection of Hepatocellular Carcinoma: Application of Machine Learning and Implications for Diagnostic Models.

RF-based models improve on the diagnostic performance of the original GALAD model in the setting of a standard HCC surveillance program. Further prospective validation studies are warranted using these models and could be expanded to offer prediction of risk of HCC development over defined periods of time.