Jing-Dong Zhang

CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment

This paper designs a holistic text template and uses pretrained foundation models to transform clinical tabular data into high-dimensional tokenized embeddings and introduces a dual-level interaction mechanism that achieves state-of-the-art (SOTA) survival prediction performance.