Evolving and novel applications of artificial intelligence in interventional oncology

doi:10.5306/wjco.v17.i3.113226

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Mar 24, 2026 (publication date) through Mar 26, 2026

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World Journal of Clinical Oncology

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2218-4333

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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 Oncol. Mar 24, 2026; 17(3): 113226
Published online Mar 24, 2026. doi: 10.5306/wjco.v17.i3.113226

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Figure 1 Schematic overview of artificial intelligence integration in interventional oncology, with inputs and outputs directly and indirectly guiding procedural planning, execution, and evaluation. AI: Artificial intelligence; CT: Computed tomography; MRI: Magnetic resonance imaging; PET: Positron emission tomography; US: Ultrasound.

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Figure 2 Summary of opportunities and challenges in artificial intelligence adoption within interventional oncology. AI: Artificial intelligence; IO: Interventional oncology.

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Figure 3 Performance of artificial intelligence models across the interventional oncology workflow. AI: Artificial intelligence; NLP: Natural language processing.

Citation: Almashni SY, Fayek FB, Javens DC, Boulis MT, Makary MS. Evolving and novel applications of artificial intelligence in interventional oncology. World J Clin Oncol 2026; 17(3): 113226
URL: https://www.wjgnet.com/2218-4333/full/v17/i3/113226.htm
DOI: https://dx.doi.org/10.5306/wjco.v17.i3.113226