Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis

Researchers developed HMKGN, a hierarchical multi-scale graph network for cancer survival prediction using whole-slide images. The AI model outperformed existing methods by 10.85% in concordance indices across four cancer datasets, demonstrating improved accuracy in predicting patient survival outcomes.