Single-center, Randomized, Superiority Pivotal Clinical Study to Evaluate the Efficacy of Artificial Intelligence-based Upper Gastrointestinal Endoscopy Image
NCT ID: NCT06969794
Last Updated: 2025-05-14
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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COMPLETED
3385 participants
OBSERVATIONAL
2023-07-01
2023-08-17
Brief Summary
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Detailed Description
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Inclusion criteria:
Age 19 or older At least one gastric lesion biopsied with a definitive pathological diagnosis Availability of high-quality white-light endoscopy images of the lesion and surrounding mucosa
Exclusion criteria:
Poor-quality images (e.g., out of focus or obscured) Lack of histopathological confirmation of the lesion
Each image will be paired with a reference standard diagnosis based on the pathology result for that lesion or region.
Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* At least one gastric lesion biopsied with a definitive pathological diagnosis
* Availability of high-quality white-light endoscopy images of the lesion and surrounding mucosa
Exclusion Criteria
* Lack of histopathological confirmation of the lesion
20 Years
100 Years
ALL
No
Sponsors
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Chuncheon Sacred Heart Hospital
OTHER
Responsible Party
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Chang Seok Bang
PI
Principal Investigators
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Chang Seok Bang, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
HALLYM UNIVERSITY COLLEGE OF MEDICINE, Korea
Locations
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Chuncheon Sacred Heart hospital
Chuncheon, Gangwon-do, South Korea
Countries
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Other Identifiers
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AI RCT2
Identifier Type: -
Identifier Source: org_study_id
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