Using AI to diagnose Helicobacter Pylori infection and gastric lesions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Age 20-80
2. Scheduled endoscopy

Exclusion Criteria:

1\. History of gastric surgery

Where it's running

• 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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• Tegoprazan 50 mg twice daily plus amoxicillin versus vonoprazan 20 mg twice daily plus amoxicillin for H. pylori eradication

  This trial tests whether a 14-day tegoprazan plus amoxicillin regimen works as well as a vonoprazan plus amoxicillin regimen to cure Helicobacter pylori infection in adults.

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.