Copyright: ©Author(s) 2026.
World J Gastroenterol. Jun 7, 2026; 32(21): 117299
Published online Jun 7, 2026. doi: 10.3748/wjg.v32.i21.117299
Published online Jun 7, 2026. doi: 10.3748/wjg.v32.i21.117299
Table 6 Logistic regression analysis for detection rate of high-risk gastric lesions in propensity score matching groups
| Variable | Univariate regression analysis | Multivariate regression analysis | ||||
| OR | 95%CI | P value | OR | 95%CI | P value | |
| Gender | ||||||
| Male | - | - | - | - | - | - |
| Female | 0.35 | 0.23-0.53 | < 0.001 | 0.44 | 0.29-0.67 | < 0.001 |
| Age | 1.08 | 1.06-1.09 | < 0.001 | 1.06 | 1.04-1.08 | < 0.001 |
| Biopsy number | 1.89 | 1.71-2.08 | < 0.001 | 1.67 | 1.51-1.85 | < 0.001 |
| AI assistance | ||||||
| No | - | - | - | - | - | - |
| Yes | 1.98 | 1.33-2.95 | 0.001 | 1.96 | 1.30-2.94 | 0.001 |
| Endoscopist seniority | ||||||
| Junior | - | - | - | - | - | - |
| Medium | 1.57 | 0.61-4.07 | 0.354 | 1.51 | 0.58-3.93 | 0.402 |
| Senior | 3.62 | 1.46-8.95 | 0.005 | 3.02 | 1.21-7.54 | 0.018 |
| Anesthesia assistance | ||||||
| No | - | - | - | - | - | - |
| Yes | 0.75 | 0.46-1.21 | 0.232 | - | - | - |
- Citation: Ying JX, Yan SY, Fu XY, Zhou YJ, Zhou JJ, Yang Y, Zhou XB, Wang ZZ, Li SW, Fang LN, Mao XL. Artificial intelligence-assisted endoscopists improve the detection rate of high-risk gastric lesions: A propensity score-matched retrospective study. World J Gastroenterol 2026; 32(21): 117299
- URL: https://www.wjgnet.com/1007-9327/full/v32/i21/117299.htm
- DOI: https://dx.doi.org/10.3748/wjg.v32.i21.117299