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Retrospective Study
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
Table 3 The impact of artificial intelligence assistance on the detection of high-risk gastric lesions by endoscopists of different levels of experience in propensity score matching groups
Endoscopist seniority
OR (95%CI)
P value
Senior (> 10 years)
LGIN1.96 (1.12-3.41)0.018
HGIN3.67 (1.02-13.18)0.046
EGC3.35 (1.34-8.34)0.010
HrGLs2.23 (1.37-3.61)0.001
Medium (5-10 years)
LGIN1.17 (0.39-3.48)0.782
HGIN3.00 (0.61-14.89)0.178
EGC2.20 (0.77-6.35)0.143
HrGLs1.55 (0.72-3.31)0.260
Junior (< 5 years)
LGIN3.01 (0.31-28.96)0.341
HGIN2.00 (0.18-22.1)0.992
EGC1.33 (0.30-5.97)0.992
HrGLs1.50 (0.25-9.01)0.656


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