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Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion

NCT05762991 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2025-06-22

No results posted yet for this study

Summary

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

  • Helicobacter Pylori Infection
  • Premalignant Lesion

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Principal Investigators

  • Tsung-Hsien Chiang, MD, PhD · National Taiwan University Hospital

Eligibility

Min Age
20 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-24
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05762991 on ClinicalTrials.gov