Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score
Qilu Hospital of Shandong University
3,000 participants
Nov 1, 2025
OBSERVATIONAL
Conditions
Summary
The endoscopic grading system (EGGIM) has been widely used to assess the extent of gastric intestinal metaplasia during endoscopy. Investigators developed an artificial intelligence (AI) system to automatically evaluate the extent of gastric intestinal metaplasia (GIM) and calculate the EGGIM scores in endoscopy examination. This study is a prospective, multi-center study aimed at exploring the performance and reliability of AI-EGGIM scoring. This is a prospective study designed to validate the AI-EGGIM system in a larger cohort. The study protocol was developed based on preliminary experience from a prior investigation (NCT05464108).
Eligibility
Inclusion Criteria2
- patients aged 40-75 years who undergo the IEE examination
- patients who voluntarily sign the informed consent form
Exclusion Criteria2
- patients with severe cardiac, cerebral, pulmonary or renal dysfunction or psychiatric disorders who cannot participate in gastroscopy
- patients with previous surgical procedures on the stomach
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Interventions
Eligible patients will undergo independent EGGIM score assessment by both endoscopists and the AI system.
Locations(3)
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NCT07257796