RecruitingNCT05762991

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

Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Randomized Clinical Trial

Sponsor

National Taiwan University Hospital

Enrollment

6,000 participants

Start Date

Dec 24, 2021

Study Type

OBSERVATIONAL

Conditions

Premalignant Lesion Helicobacter Pylori Infection

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.

Eligibility

Min Age: 20 YearsMax Age: 80 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Routine endoscopy with artificial intelligence-assisted interpretation for people with helicobacter pylori infection and premalignant lesion. The study is currently recruiting participants at 1 location. People eligible for this study include aged 20 Years to 80 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERRoutine 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.