AI in GIM Diagnosis

Not Applicable

• Conditions: Artificial Intellegence; GIM Diagnosis

• Registration Number: NCT04358198
• Lead Sponsor: King Chulalongkorn Memorial Hospital

Brief Summary

This study will use artificial intelligence (AI) for diagnosing gastric intestinal metaplasia.

Detailed Description

The patients with previously diagnose gastric intestinal metaplasia (GIM) and have the surveillance gastroscopy will be enrolled. The routine surveillance program will be performed additional to taking photo at both GIM and normal mucosa at least 5 pictures in each. Biopsy will be done to confirm the diagnosis of GIM and normal mucosa. All pictures will be inserted to AI algorithm based on the convolutional neural network (CNN). Then, the AI program will be validated in daily endoscopy compared with pathology. Accuracy, sensitivity and specificity can be calculated by 2x2 table.

Study Timeline

• Study First Submitted: 2020-04-12
• Study First Submitted QC: 2020-04-21
• Study First Posted: 2020-04-24
• Study Start: 2020-05-01
• Status Verified: 2022-03
• Last Update Submitted: 2022-03-28
• Last Update Posted: 2022-03-31
• Primary Completion: 2023-11-30
• Study Completion: 2024-02-28

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 120

Inclusion Criteria

• More than 18 years of age
• Able to sign a consent form

Exclusion Criteria

• History of gastric surgery
• Coagulopathy
• Pregnancy/Breast feeding

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Primary Outcome Measures

Name	Time	Method
Accuracy of AI for GIM diagnosis	1 year	Accuracy, sensitivity, specificity can be calculated by 2x2 table (pathology is a gold standard)

Trial Locations

Locations (1)

Rapat Pittayanon; 🇹🇭 Pathum Wan, Bangkok, Thailand