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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: 6000

Last updated 2026-06-24

No results posted yet for this study

Summary

The aim of this study is to evaluate the impact of artificial intelligence (AI) assistance during routine upper endoscopy on gastric cancer-specific mortality. We hypothesize that AI-assisted endoscopic interpretation can further reduce gastric cancer-related mortality through two mechanisms: (1) improved detection of H. pylori infection, facilitating timely eradication therapy and subsequent prevention of gastric carcinogenesis; and (2) earlier identification of premalignant gastric conditions, enabling appropriate surveillance endoscopy and earlier detection of gastric cancer. The primary endpoint is gastric cancer-specific mortality.

Conditions

  • Helicobacter Pylori Infection
  • Premalignant Lesion

Interventions

OTHER

Routine endoscopy with artificial intelligence-assisted interpretation

(1) Improved detection of H. pylori infection, leading to timely eradication therapy. (2) Earlier identification of premalignant gastric conditions, facilitating appropriate surveillance endoscopy.

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
2028-12-31
Completion
2028-12-31

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