Actively Recruiting
Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion
Led by National Taiwan University Hospital · Updated on 2025-06-22
2000
Participants Needed
1
Research Sites
261 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The aim of this diagnostic accuracy study is to evaluate the application of artificial intelligence on the diagnosis of Helicobacter pylori infection and premalignant gastric lesions based on upper endoscopic images. We use techniques of artificial intelligence to analyze the correlation between endoscopic images and urea breath test results/histopathological results.
CONDITIONS
Official Title
Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 20 to 80 years
- Scheduled for urea breath test and upper gastrointestinal endoscopy
You will not qualify if you...
- History of gastric surgery
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Yi-Chia Lee
Taipei, Taiwan, 10015
Actively Recruiting
Research Team
Y
Yi-Chia Lee, MD, PhD
CONTACT
T
Tsung-Hsien Chiang, MD,PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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