Artificial intelligence in orthopaedics: Clinical decision support, medical imaging, surgical planning, and outcome prediction

doi:10.12998/wjcc.v14.i17.120192

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World Journal of Clinical Cases

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2307-8960

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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 Clin Cases. Jun 16, 2026; 14(17): 120192
Published online Jun 16, 2026. doi: 10.12998/wjcc.v14.i17.120192

Table 3 Advantages and current limitations of artificial intelligence in orthopaedics

Advantages	Limitations
Improved diagnostic accuracy	Dataset bias
Reduced inter-observer variability	Limited external validation
Personalised treatment planning	High infrastructure cost
Faster workflow efficiency	Regulatory uncertainty
Predictive outcome modelling	Algorithm interpretability issues
Early complication detection	Data privacy concerns
Enhanced surgical precision	Learning curve for clinicians
Decision support	Risk of overreliance

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Citation: Dwajan A, Patro DR, Agarwal A, Lalhmingmawii M. Artificial intelligence in orthopaedics: Clinical decision support, medical imaging, surgical planning, and outcome prediction. World J Clin Cases 2026; 14(17): 120192
URL: https://www.wjgnet.com/2307-8960/full/v14/i17/120192.htm
DOI: https://dx.doi.org/10.12998/wjcc.v14.i17.120192

Dwajan A, Patro DR, Agarwal A, Lalhmingmawii M. Artificial intelligence in orthopaedics: Clinical decision support, medical imaging, surgical planning, and outcome prediction. World J Clin Cases 2026; 14(17): 120192 [DOI: 10.12998/wjcc.v14.i17.120192]

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