NCT04358198

AI in GIM Diagnosis

Usefulness of Artificial Intelligence (AI) for Gastric Intestinal Metaplasia Diagnosis

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 120 (estimated)
• Sponsor: King Chulalongkorn Memorial Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• GIM Diagnosis
• Artificial Intellegence

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Artificial intelligence	The AI algorithm based on the convolutional neural network (CNN) will be used for analysis the pictures of gastric intestinal metaplasia and normal mucosa. Then AI will be used as a diagnostic tool for GIM during routine endoscopy by using pathology as a gold standard.

Timeline

• Start date: 2020-05-01
• Primary completion: 2023-11-30
• Completion: 2024-02-28
• First posted: 2020-04-24
• Last updated: 2022-03-31

Locations

1 site across 1 country: Thailand