Artificial intelligence model on images of functional dyspepsia

doi:10.37126/aige.v6.i1.105674

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Mar 28, 2025 (publication date) through Apr 13, 2025

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Artificial Intelligence in Gastrointestinal Endoscopy

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2689-7164

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

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Artif Intell Gastrointest Endosc. Mar 28, 2025; 6(1): 105674
Published online Mar 28, 2025. doi: 10.37126/aige.v6.i1.105674

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Figure 4 Representative duodenal images evaluated by the artificial intelligence model for detecting the presence of functional dyspepsia in Helicobacter pylori-infected patients. The values shown correspond to the model's confidence score (ranging from 0 to 1). A: A duodenal image with an artificial intelligence confidence score of 0.52; B: A duodenal image with a score of 0.52; C: A duodenal image with a score of 0.55; D: A duodenal image with a score of 0.56; E: A duodenal image with a score of 0.72.

Citation: Mihara H, Nanjo S, Motoo I, Ando T, Fujinami H, Yasuda I. Artificial intelligence model on images of functional dyspepsia. Artif Intell Gastrointest Endosc 2025; 6(1): 105674
URL: https://www.wjgnet.com/2689-7164/full/v6/i1/105674.htm
DOI: https://dx.doi.org/10.37126/aige.v6.i1.105674