Pith Number

pith:FZBVN7JB

pith:2026:FZBVN7JBPADGNT65URBOQ44VLE

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CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications

Blanca Gallego, Jamie Novak, Mathew Miller, Sze-yuan Ooi, Victoria Blake

CUICurate automates UMLS concept set curation with GraphRAG to yield larger and more complete sets than manual methods.

arxiv:2602.17949 v2 · 2026-02-20 · cs.CL · cs.AI

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Claims

C1strongest claim

CUICurate produced substantially larger and more complete concept sets than the manual benchmarks. GPT-5 outperformed manual curation for all concepts and retained at least 95% of definitive gold-standard CUIs.

C2weakest assumption

The assumption that LLM-based filtering (GPT-5 and Qwen3-32B) accurately distinguishes clinically meaningful relations from noise without systematic bias or hallucination, especially for concepts not observed in the 10,000 MIMIC-III notes used for validation.

C3one line summary

CUICurate uses GraphRAG on a UMLS knowledge graph plus LLMs to generate larger, higher-recall concept sets than manual curation for five clinical concepts.

References

17 extracted · 17 resolved · 0 Pith anchors

[1] Medical Concept Normalization 2024

[2] The Unified Medical Language System at 30 Years and How It Is Used and Published: Systematic Review and Content Analysis 2021

[3] Clinical Concept Value Sets and Interoperability in Health Data Analytics 2018

[4] Quickumls: a fast, unsupervised approach for medical concept extraction 2016

[5] MedCAT -- Medical Concept Annotation Tool 2019

Receipt and verification

First computed	2026-05-17T23:39:16.057378Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2e4356fd21780666cfdda442e873955914ef7c1438700699ae9523bbc878e414

Aliases

arxiv: 2602.17949 · arxiv_version: 2602.17949v2 · doi: 10.48550/arxiv.2602.17949 · pith_short_12: FZBVN7JBPADG · pith_short_16: FZBVN7JBPADGNT65 · pith_short_8: FZBVN7JB

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/FZBVN7JBPADGNT65URBOQ44VLE \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2e4356fd21780666cfdda442e873955914ef7c1438700699ae9523bbc878e414

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-02-20T03:00:13Z",
    "title_canon_sha256": "aa5ba4e93ae3d7f6dc98f6c03eb6250e07c2164286fd7dc6dae919221b430b8a"
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