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©The Author(s) 2025.
Artif Intell Gastrointest Endosc. Mar 28, 2025; 6(1): 105674
Published online Mar 28, 2025. doi: 10.37126/aige.v6.i1.105674
Published online Mar 28, 2025. doi: 10.37126/aige.v6.i1.105674
Figure 3 Representative duodenal images evaluated by the artificial intelligence model for detecting the absence 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 a high artificial intelligence (AI) confidence score of 0.83, indicating a strong prediction of the absence of functional dyspepsia; B: A duodenal image with the highest AI confidence score of 0.84; C: A duodenal image with a score of 0.88; D: A duodenal image with a score of 0.90; E: A duodenal image with a score of 0.93.
- 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