Preprint
Jul 2026
Large Language Models as Unified Multimodal Learners for Clinical Prediction
Results indicate that a single serialization-based paradigm, without bespoke fusion architectures, is sufficient for multimodal clinical prediction - substantially reducing system complexity while matching or exceeding specialized designs.
A. Ravichandran, Bilgin Osmandoja, Klemens Budde et al.
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