Using AI to diagnose Helicobacter Pylori infection and gastric lesions
Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Multihospital Study
This study is testing whether artificial intelligence can help doctors in rural areas diagnose Helicobacter pylori infections and early signs of stomach cancer by looking at images from endoscopies.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 2000 (estimated) |
| Ages | 20 Years to 80 Years |
| Sex | All |
| Sponsor | National Taiwan University Hospital Academic / other |
| Locations | 1 site (Taipei) |
| Trial ID | NCT05762991 on ClinicalTrials.gov |
What this trial studies
This observational study aims to evaluate the effectiveness of artificial intelligence in diagnosing Helicobacter pylori infection and premalignant gastric lesions through the analysis of upper endoscopic images. Patients will undergo a urea breath test, upper gastrointestinal endoscopy, and histological examination, with their results and images collected for analysis. The study seeks to establish a telemedicine system that assists clinicians in rural areas with diagnosis based on these images, linking baseline predictions to potential future gastric cancer cases.
Who should consider this trial
Good fit: Ideal candidates are individuals aged 20-80 who are scheduled for a urea breath test and endoscopy.
Not a fit: Patients with a history of gastric surgery may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could enhance diagnostic accuracy and accessibility for patients in rural areas suffering from gastric conditions.
How similar studies have performed: Other studies have shown promise in using artificial intelligence for diagnostic purposes, suggesting potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age 20-80 2. Scheduled urea breath test and endoscopy Exclusion Criteria: 1\. History of gastric surgery
Where this trial is running
Taipei
- Yi-Chia Lee — Taipei, Taiwan (Recruiting)
Study contacts
- Principal investigator: Tsung-Hsien Chiang, MD, PhD — National Taiwan University Hospital
- Study coordinator: Yi-Chia Lee, MD, PhD
- Email: yichialee@ntu.edu.tw
- Phone: 886-2-23123456
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.