Towards Reliable Multimodal Clinical Decision Support: From Quality-Aware Fusion to Patient Digital Twins
This doctoral research addresses fragility in multimodal deep learning by shifting the paradigm from generative imputation to uncertainty-guided abstention and introducing QA-MoE (Quality-Aware MoE), which explicitly decouples reliability estimation from the routing process.