arxiv
PublishedSeptember 3, 2026 at 4:00 AM
Learning to Fuse LLMs with Ontology Rankers for Rare-Disease Diagnosis
Publisher summary· verbatim
arXiv:2609.02473v1 Announce Type: new Abstract: Ontology rankers remain useful for rare-disease diagnosis because each candidate can be traced to matched patient phenotypes. Large language models (LLMs) can generate differential diagnoses from the same patient description, but their predictions lack
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Originally published on arxiv ↗