Sato et al. (2019) developed a novel ML system predictive model for HCC diagnosis using patient clinical datapoints, including alpha-fetoprotein and Des-gamma carboxyprothrombin, which demonstrated 87.34% predictive accuracy and area under the curve of 0.940 [67]. Here, AFP is linked to hepatocellular carcinoma.