Integrating artificial intelligence in the diagnostic pathway of duodenal gastrointestinal stromal tumors: A case report

doi:10.35712/aig.v7.i1.115054

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Jan 8, 2026 (publication date) through Jan 18, 2026

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Artificial Intelligence in Gastroenterology

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2644-3236

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

Case Report

Artif Intell Gastroenterol. Jan 8, 2026; 7(1): 115054
Published online Jan 8, 2026. doi: 10.35712/aig.v7.i1.115054

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Figure 1 Computed tomography. A: Coronal section showing large duodenal tumor; B: Sagittal section showing similar findings (blue highlight, orange arrow).

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Figure 2 Showing resected specimen.

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Figure 3 Artificial intelligence-based diagnostic workflow for differentiating duodenal gastrointestinal stromal tumor and pancreatic cancer. CT: Computed tomography; MRI: Magnetic resonance imaging; GLCM: Gray-level co-occurrence matrix; CNN: Convolutional neural network; GIST: Gastrointestinal stromal tumor; AI: Artificial intelligence; DICOM: Digital imaging and communications in medicine.

Citation: Agrawal H, Dwivedi G, Rohitaj R, Tanwar H, Maurya S, Gupta N. Integrating artificial intelligence in the diagnostic pathway of duodenal gastrointestinal stromal tumors: A case report. Artif Intell Gastroenterol 2026; 7(1): 115054
URL: https://www.wjgnet.com/2644-3236/full/v7/i1/115054.htm
DOI: https://dx.doi.org/10.35712/aig.v7.i1.115054