Retrieval-augmented generation models for predicting pathological upgrading in endoscopically resected gastric low-grade intraepithelial neoplasia: A dual-center evaluation

doi:10.3748/wjg.122422

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World Journal of Gastroenterology

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1007-9327

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Copyright: ©Author(s) 2027. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastroenterol. Jan 7, 2027; 33(1): 122422
Published online Jan 7, 2027. doi: 10.3748/wjg.122422

Table 2 Subgroup analysis for predicting pathological upgrading

Stratification factors	Subgroups	Upgraded/non-upgraded (n)	AUC
Stratification factors	Subgroups	Upgraded/non-upgraded (n)	DeepSeek-V3	Qwen3-235b
Lesion size (cm)	< 1	19/94	0.790 (0.589-0.896)	0.785 (0.617-0.889)
	1-2	103/126	0.852 (0.793-0.892)	0.837 (0.776-0.878)
	≥ 2	26/4	0.594 (0.473-0.721)	0.605 (0.305-0.765)
Postoperative pathology	HGIN	105/224	0.851 (0.795-0.886)	0.846 (0.789-0.885)
Postoperative pathology	EGC	43/224	0.924 (0.875-0.952)	0.900 (0.849-0.934)

AUC: Area under the receiver operating characteristic curve; HGIN: High-grade intraepithelial neoplasia; EGC: Early gastric cancer.

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Citation: Zhuang Q, Cheng JN, Zheng YL, Wu S, Chu YM, Zhou L, Xia J, Ning M, Peng HX, Wan XJ, Dong ZX. Retrieval-augmented generation models for predicting pathological upgrading in endoscopically resected gastric low-grade intraepithelial neoplasia: A dual-center evaluation. World J Gastroenterol 2027; 33(1): 122422
URL: https://www.wjgnet.com/1007-9327/full/v33/i1/122422.htm
DOI: https://dx.doi.org/10.3748/wjg.122422

Zhuang Q, Cheng JN, Zheng YL, Wu S, Chu YM, Zhou L, Xia J, Ning M, Peng HX, Wan XJ, Dong ZX. Retrieval-augmented generation models for predicting pathological upgrading in endoscopically resected gastric low-grade intraepithelial neoplasia: A dual-center evaluation. World J Gastroenterol 2027; 33(1): 122422 [DOI: 10.3748/wjg.122422]

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