ClinRAG-GRAPH fuses graph convolutional networks, dual-branch domain-adversarial learning, and LLM-driven subgraph retrieval to predict pre-treatment pathological complete response from DCE-MRI and clinical data, reporting AUC 0.815 internal and 0.774/0.712 on two external sets.
Journal of Translational Medicine23(1), 774 (2025)
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ClinRAG-GRAPH: Clinical-prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction
ClinRAG-GRAPH fuses graph convolutional networks, dual-branch domain-adversarial learning, and LLM-driven subgraph retrieval to predict pre-treatment pathological complete response from DCE-MRI and clinical data, reporting AUC 0.815 internal and 0.774/0.712 on two external sets.