ProtoMedAgent formalizes multimodal clinical reporting as iterative zero-gradient test-time optimization over a neuro-symbolic bottleneck with k-anonymity and ℓ-diversity privacy gate, reporting 91.2% faithfulness versus 46.2% for standard RAG on a 4,160-patient cohort.
Correctness is not faithfulness in retrieval augmented generation attributions
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ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
ProtoMedAgent formalizes multimodal clinical reporting as iterative zero-gradient test-time optimization over a neuro-symbolic bottleneck with k-anonymity and ℓ-diversity privacy gate, reporting 91.2% faithfulness versus 46.2% for standard RAG on a 4,160-patient cohort.