bioRxiv / medRxiv
open access
Optical compression of multimodal clinical data into a unified visual memory for generative trajectory forecasting
ImportanceCurrent clinical artificial intelligence is bottlenecked by highly specialized, fragmented models that reduce complex, multimodal data into isolated scalar predictions. By reframing multimodal perception as a pure vision problem, optical compression into a universal visual operating system
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