2026
ConSurv: Multimodal Continual Learning for Survival Analysis
AAAI 2026technical
Survival prediction of cancers is crucial for clinical practice, as it informs mortality risks and influences treatment plans. However, a static model trained on a single dataset fails to adapt to the dynamically evolving clinical environment and continuous data streams, limiting its practical utili