Actively Recruiting
Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score
Led by Qilu Hospital of Shandong University · Updated on 2025-12-02
3000
Participants Needed
3
Research Sites
112 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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).
CONDITIONS
Official Title
Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 40 to 75 years undergoing image-enhanced endoscopy (IEE)
- Patients who voluntarily sign the informed consent form
You will not qualify if you...
- Patients with severe cardiac, cerebral, pulmonary, or renal dysfunction or psychiatric disorders preventing participation in gastroscopy
- Patients with previous surgical procedures on the stomach
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 3 locations
1
Qilu Hospital of Shandong University
Jinan, Shandong, China, 250012
Actively Recruiting
2
Shandong First Medical University First Affiliated Hospital
Jinan, Shandong, China
Not Yet Recruiting
3
Shandong Second Provincial General Hospital
Jinan, Shandong, China
Not Yet Recruiting
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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