AI RESEARCH
EI: Early Intervention for Multimodal Imaging based Disease Recognition
arXiv CS.CV
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ArXi:2603.17514v1 Announce Type: new Current methods for multimodal medical imaging based disease recognition face two major challenges. First, the prevailing "fusion after unimodal image embedding" paradigm cannot fully leverage the complementary and correlated information in the multimodal data. Second, the scarcity of labeled multimodal medical images, coupled with their significant domain shift from natural images, hinders the use of cutting-edge Vision Foundation Models (VFMs) for medical image embedding.