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Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score
Sponsor: Qilu Hospital of Shandong University
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).
Key Details
Gender
All
Age Range
40 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
3000
Start Date
2025-11-01
Completion Date
2027-12-31
Last Updated
2025-12-02
Healthy Volunteers
Not specified
Interventions
The diagnostic performance of AI system and endoscopists
Eligible patients will undergo independent EGGIM score assessment by both endoscopists and the AI system.
Locations (3)
Qilu Hospital of Shandong University
Jinan, Shandong, China
Shandong First Medical University First Affiliated Hospital
Jinan, Shandong, China
Shandong Second Provincial General Hospital
Jinan, Shandong, China