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Zhejiang University
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LLMs can generate clinical summaries that not only improve the accuracy of multimodal depression detection but also provide transparent rationales for those predictions.
Achieve state-of-the-art ECG analysis by disentangling modality-specific biases and capturing spatial-temporal dependencies, outperforming existing multimodal approaches.
MedVAR leapfrogs existing methods by achieving state-of-the-art medical image generation with an autoregressive architecture designed for both speed and scalability.