Background: Chronic atrophic gastritis is a common preneoplastic condition of the stomach with a low detection rate during endoscopy.
Aims: This study aimed to develop two deep learning models to improve the diagnostic rate.
Methods: We collected 10,593 images from 4005 patients including 2280 patients with chronic atrophic gastritis and 1725 patients with chronic non-atrophic gastritis from two tertiary hospitals.