AI RESEARCH
MedicalBench: Evaluating Large Language Models Toward Improved Medical Concept Extraction
arXiv CS.CL
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ArXi:2605.20197v1 Announce Type: new Medical concept extraction from electronic health records underpins many downstream applications, yet remains challenging because medically meaningful concepts are frequently implied rather than explicitly stated in medical narratives. Existing benchmarks with human-annotated evidence spans underscore the importance of grounding extracted concepts in medical text. However, they predominantly focus on explicitly stated concepts instead of implicit concepts.