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VC-RDAgent: An efficient rare disease diagnosis agent via virtual case construction informed by hybrid statistical-metric and hyperbolic-semantic prioritization

2026-02-11

Abstract excerpt

While Large Language Models (LLMs) have shown promise in clinical decision support, current Retrieval-Augmented Generation (RAG) paradigms face a fundamental bottleneck in rare disease diagnosis: the scarcity, privacy restrictions, and extreme heterogeneity of real-world patient records. This reliance on sparse or inaccessible data leads to a severe “retrieval mismatch,” where the lack of high-quality reference ca...

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Literature Corpus work
4ebe63a4-cf2c-5028-ba31-b289a9ed0136
DOI
10.64898/2026.02.09.702153
Open publication

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VC-RDAgent: An efficient rare disease diagnosis agent via virtual case construction informed by hybrid statistical-metric and hyperbolic-semantic prioritizationDOI 10.64898/2026.02.09.702153
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