AI RESEARCH
Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer
arXiv CS.AI
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ArXi:2601.10386v2 Announce Type: replace-cross Accurate survival prediction in Non-Small Cell Lung Cancer (NSCLC) requires integrating clinical, radiological, and histopathological data. Multimodal Deep Learning (MDL) can improve precision prognosis, but small cohorts and missing modalities limit its clinical applicability, as conventional approaches enforce complete case filtering or imputation.