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LongMoE: Longitudinal Multimodal Learning via Trajectory-Aware Mixture-of-Experts
Multimodal clinical learning is increasingly important for integrating diverse patient data, including imaging, text, and personalised health records. However, it faces two fundamental challenges: i) modality missingness, where arbitrary subsets of modalities are unavailable at a given patient visit
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