A gated fusion of graph attention networks on semantic, dependency, and co-occurrence graphs from speech achieves 90% accuracy for Alzheimer's detection on the ADReSSo dataset.
Exploring Multimodal Approaches for Alzheimer’s Disease Detection Using Patient Speech Transcript and Audio Data,
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A review summarizing LLM applications for diagnostics and treatment in oncology, dermatology, dentistry, neurodegenerative disorders, and mental health, plus integration challenges.
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Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection
A gated fusion of graph attention networks on semantic, dependency, and co-occurrence graphs from speech achieves 90% accuracy for Alzheimer's detection on the ADReSSo dataset.
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LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
A review summarizing LLM applications for diagnostics and treatment in oncology, dermatology, dentistry, neurodegenerative disorders, and mental health, plus integration challenges.