AI RESEARCH
CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications
arXiv CS.CL
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ArXi:2602.17949v2 Announce Type: replace Background: Clinical named entity recognition tools commonly map free text to Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs). For many downstream tasks, however, the clinically meaningful unit is not a single CUI but a concept set comprising related synonyms, subtypes, and associated concepts. Constructing these sets is labour-intensive, inconsistently performed, and poorly ed by existing tools.