ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows 事件

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows arXiv:2605.14113v2 Announce Type: replace Abstract: While interpretable prototype networks offer compelling case-based reasoning for clinical diagnostics, their raw continuous outputs lack the semantic structure required for medical documentation. Bridging this gap via standard Retrieval-Augmented Generation (RAG) routinely triggers ``retrieval sycophancy,'' where Large Language Models (LLMs) hallucinate pos