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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
Table 2 Functional dyspepsia model of the duodenum depending on Helicobacter pylori status; area under the curve and the contingency tables
| HP (+) | AUC | |
| All labels | 0.84 | |
| FD/HP (+) | 0.59 | |
| Non-FD/HP (+) | 0.90 | |
| True label/predictive label | FD/HP (+) | non-FD/HP (+) |
| FD/HP (+) | 71% | 29% |
| Non-FD/HP (+) | 33% | 67% |
| HP (-) | AUC | |
| All labels | 0.85 | |
| FD/HP (-) | 0.83 | |
| Non-FD/HP (-) | 0.84 | |
| True label/predictive label | FD/HP (-) | non-FD/HP (-) |
| FD/HP (-) | 58% | 42% |
| Non-FD/HP (-) | - | 100% |
- 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