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Article

Medical concept understanding in large language models is fragmented

2026-03-05

Abstract excerpt

Large language models (LLMs) perform strongly across a wide range of medical applications, yet it remains unclear whether such success reflects genuine understanding of medical concepts. We present an ontology-grounded, concept-centered evaluation of medical concept understanding in LLMs. Using 6,252 phenotype concepts from Human Phenotype Ontology, we decompose concept understanding into three core dimensions—con...

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Literature Corpus work
71c6f021-43c7-590c-afee-e4334a016c80
DOI
10.64898/2026.03.03.26347552
Open publication

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Medical concept understanding in large language models is fragmentedDOI 10.64898/2026.03.03.26347552
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