Combination of artificial intelligence endoscopic diagnosis and Kimura-Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post-eradication status.

ABSTRACT:

Background

Since it is difficult for expert endoscopists to diagnose early gastric cancer in post-eradication status, it may be critical to evaluate the stratification of high-risk groups using the advance of gastric atrophy or intestinal metaplasia. We tried to determine whether the combination of endoscopic artificial intelligence (AI) diagnosis for the evaluation of gastric atrophy could be a useful tool in both pre- and post-eradication status.

Methods

270 Helicobacter pylori-positive outpatients (Study I) were enrolled and Study II was planned to compare patients (n = 72) with pre-eradication therapy with post-eradication therapy. Assessment of endoscopic appearance was evaluated by the Kyoto classification and Kimura-Takemoto classification. The trained n

SUBMITTER: Kirita K 

PROVIDER: S-EPMC11555298 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature