Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion
NCT ID: NCT05762991
Last Updated: 2025-06-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
2000 participants
OBSERVATIONAL
2021-12-24
2026-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
OTHER
Study Groups
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Helicobacter pylori infection and premalignant gastric lesion
Application of artificial intelligence to analyze the correlation between endoscopic images and urea breath test results/histopathological results.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. Scheduled urea breath test and endoscopy
Exclusion Criteria
20 Years
80 Years
ALL
No
Sponsors
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National Taiwan University Hospital
OTHER
Responsible Party
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Principal Investigators
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Tsung-Hsien Chiang, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
National Taiwan University Hospital
Locations
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Yi-Chia Lee
Taipei, , Taiwan
Countries
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Central Contacts
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Facility Contacts
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References
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Chiang TH, Hsu YN, Chen MH, Chen YR, Cheng HC, Chen MJ, Lee FJ, Chang CY, Chang CC, Bair MJ, Liou JM, Chen CJ, Chen YC, Chiang H, Shun CT, Liu JH, Chiu HM, Wu MS, Yu JY, Guo RS, Lin JT, Lee YC, Chen CS. A Rural-to-Center Artificial Intelligence Model for Diagnosing Helicobacter pylori Infection and Premalignant Gastric Conditions Using Endoscopy Images Captured in Routine Practice. Endoscopy. 2025 Oct 13. doi: 10.1055/a-2721-6552. Online ahead of print.
Other Identifiers
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202111108RINC
Identifier Type: -
Identifier Source: org_study_id
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