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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 Multihospital Study

Sponsor

National Taiwan University Hospital

Enrollment

2,000 participants

Start Date

Dec 24, 2021

Study Type

OBSERVATIONAL

Conditions

Premalignant LesionHelicobacter Pylori Infection

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.

Eligibility

Min Age: 20 YearsMax Age: 80 Years

Inclusion Criteria2

  • Age 20-80
  • Scheduled urea breath test and endoscopy

Exclusion Criteria1

  • \. History of gastric surgery

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Locations(1)

Yi-Chia Lee

Taipei, Taiwan

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NCT05762991

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