Demonstrates effective risk stratification for hepatocellular carcinoma using machine learning in diverse populations, highlighting its potential impact.
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.
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Zachariah H. Foda (2026) studied this question.
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