Copyright: ©Author(s) 2026.
World J Gastroenterol. Jul 21, 2026; 32(27): 119276
Published online Jul 21, 2026. doi: 10.3748/wjg.119276
Published online Jul 21, 2026. doi: 10.3748/wjg.119276
Table 1 Basic performance test
| Targets | Test subset A (95%CI) | Test subset B (95%CI) |
| Sensitivity (%) | 98.07 (97.81, 98.33) | 100.00 (100.00, 100.00) |
| Precision (%) | 100.00 (100.00, 100.00) | 100.00 (100.00, 100.00) |
| Accuracy (%) | 99.03 (99.00, 99.06) | 100.00 (100.00, 100.00) |
- Citation: Chen W, Wu M, Wang HY, Wu HB, Li J, Sun YH, Huang F, Gao M, Zhong ZH, Wu YM, Chen L. Artificial intelligence-based mucosa touch rate: A novel real-time quality control indicator for colonoscopy. World J Gastroenterol 2026; 32(27): 119276
- URL: https://www.wjgnet.com/1007-9327/full/v32/i27/119276.htm
- DOI: https://dx.doi.org/10.3748/wjg.119276