MedVQA-TREE fuses three levels of ultrasound image features with UMLS-guided PubMed retrieval to predict sarcopenia, reporting 99% accuracy on a 24-patient proprietary dataset.
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MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
MedVQA-TREE fuses three levels of ultrasound image features with UMLS-guided PubMed retrieval to predict sarcopenia, reporting 99% accuracy on a 24-patient proprietary dataset.