Challenges in clinical translation of artificial intelligence and real-time imaging navigation in radical gastrectomy

doi:10.3748/wjg.v31.i40.111389

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Oct 28, 2025 (publication date) through Oct 30, 2025

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World Journal of Gastroenterology

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1007-9327

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

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World J Gastroenterol. Oct 28, 2025; 31(40): 111389
Published online Oct 28, 2025. doi: 10.3748/wjg.v31.i40.111389

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Figure 1 Research literature screening process. AI: Artificial intelligence.

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Figure 2 Clinical application of artificial intelligence in radical gastric cancer surgery. AI: Artificial intelligence; CNN: Convolutional neural network; BPNN: Backpropagation neural network; LSTM: Long short-term memory; XGB: Extreme gradient boosting; LR: Logistic regression; RF: Random forest; KNN: K-nearest neighbors; NB: Naive Bayes; SVM: Support vector machine; ResNet: Residual network; HRNet: High-resolution network.

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Figure 3 Application of navigation. CT: Computed tomography; NIRF-ICG: Near-infrared fluorescence-indocyanine green.

Citation: Miao YR, Wang Y, Shi L, Lv JT, Yang XJ. Challenges in clinical translation of artificial intelligence and real-time imaging navigation in radical gastrectomy. World J Gastroenterol 2025; 31(40): 111389
URL: https://www.wjgnet.com/1007-9327/full/v31/i40/111389.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i40.111389