Comparative Analysis of Multi-Biomarker Diagnostic Models for Early Detection of Hepatocellular Carcinoma and Their Potential Implications for Surgical Decision-Making

The TAGALAD and GAP_TALAD models offer a robust and reliable framework that supports early diagnosis of HCC. Their superior accuracy indicates a more reliable foundation for identifying candidates for curative surgical interventions, suggesting the potential to refine patient selection. Future research should focus on multi-center validation and the integration of novel biomarkers to further optimize these models for surgical decision-making and personalized treatment strategies.