Bridging artificial intelligence and clinical decision-making in gastric cancer surgery

doi:10.4240/wjgs.119402

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World Journal of Gastrointestinal Surgery

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1948-9366

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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 Gastrointest Surg. Sep 27, 2026; 18(9): 119402
Published online Sep 27, 2026. doi: 10.4240/wjgs.119402

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Figure 1 Conceptual framework of artificial intelligence–driven clinical decision-making in gastric cancer surgery. The figure was created with assistance from ChatGPT for visual design and language support. However, the scientific content, interpretation, and overall concept of the figure were developed entirely by the authors. CRP: C-reactive protein; NLR: Neutrophil-to-lymphocyte ratio; PET-CT: Positron emission tomography-computed tomography; ML: Machine learning; AUC: Area under the curve; AI: Artificial intelligence; SHAP: SHapley Additive exPlanations.

Citation: Ormeci MT, Kirkik D, Tulubas E. Bridging artificial intelligence and clinical decision-making in gastric cancer surgery. World J Gastrointest Surg 2026; 18(9): 119402
URL: https://www.wjgnet.com/1948-9366/full/v18/i9/119402.htm
DOI: https://dx.doi.org/10.4240/wjgs.119402

Ormeci MT, Kirkik D, Tulubas E. Bridging artificial intelligence and clinical decision-making in gastric cancer surgery. World J Gastrointest Surg 2026; 18(9): 119402 [DOI: 10.4240/wjgs.119402]

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