CACSurv: Concordance-Aligned Comparative Learning with Large Language Models for Cancer Survival Prediction
Cancer survival prediction supports treatment planning, risk stratification, and follow-up management. Existing methods use structured clinical variables, whole-slide images, genomic profiles, or multimodal inputs, while patient reports remain underexplored. We study report-centric survival prediction using reports tha...