OpenEvidence performs at similar levels compared to current and previous GPT models on orthopedic training and education questions

doi:10.5312/wjo.v17.i6.118593

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World Journal of Orthopedics

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2218-5836

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

Observational Study

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 Orthop. Jun 18, 2026; 17(6): 118593
Published online Jun 18, 2026. doi: 10.5312/wjo.v17.i6.118593

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Figure 2 Pooled accuracy. A: By perceived question importance; B: By question complexity.

Citation: Javid K, Driessche A, Clymer C, Abbas MJ, Pantuso A, Maier LM, Hoegler J, Hakeos WM, Guthrie ST. OpenEvidence performs at similar levels compared to current and previous GPT models on orthopedic training and education questions. World J Orthop 2026; 17(6): 118593
URL: https://www.wjgnet.com/2218-5836/full/v17/i6/118593.htm
DOI: https://dx.doi.org/10.5312/wjo.v17.i6.118593

Javid K, Driessche A, Clymer C, Abbas MJ, Pantuso A, Maier LM, Hoegler J, Hakeos WM, Guthrie ST. OpenEvidence performs at similar levels compared to current and previous GPT models on orthopedic training and education questions. World J Orthop 2026; 17(6): 118593 [DOI: 10.5312/wjo.v17.i6.118593]

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