The Promise of Machine Learning–Based Population Screening for Hepatocellular Carcinoma

Summary:

Clusmann and colleagues developed PRE-Screen-HCC, an interpretable machine learning framework that leverages multimodal clinical data from 2 population-scale cohorts to stratify hepatocellular carcinoma risk, significantly outperforming existing risk scores and demonstrating robustness across diverse ethnic subgroups.

See related article by Clusmann et al., p. 1304