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

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Figure 2 Multimodal data integration framework for artificial intelligence-driven clinical decision support in orthopaedics. Artificial intelligence integrates diverse data sources including imaging, electronic medical records, wearable sensors, surgical navigation systems, registries, genomics, arthroscopy video, and smart implants to support clinical decision-making and enable precision orthopaedic care. EMR: Electronic medical record.

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