Evaluating large language models in Helicobacter pylori-related question answering: From knowledge tests to patient queries

doi:10.3748/wjg.119857

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. 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. Oct 7, 2026; 32(37): 119857
Published online Oct 7, 2026. doi: 10.3748/wjg.119857

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Figure 3 Evaluation results of large language models on clinical questions. ^aP < 0.05, ^bP < 0.01, ^cP < 0.001, and ^dP < 0.00001.

Citation: Sun SP, Niu DY, Yuan MK, Liu L, Li Y, Min H. Evaluating large language models in Helicobacter pylori-related question answering: From knowledge tests to patient queries. World J Gastroenterol 2026; 32(37): 119857
URL: https://www.wjgnet.com/1007-9327/full/v32/i37/119857.htm
DOI: https://dx.doi.org/10.3748/wjg.119857

Sun SP, Niu DY, Yuan MK, Liu L, Li Y, Min H. Evaluating large language models in Helicobacter pylori-related question answering: From knowledge tests to patient queries. World J Gastroenterol 2026; 32(37): 119857 [DOI: 10.3748/wjg.119857]

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