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.
· arXiv.org · 0 citations