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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UNKNOWN
NA
120 participants
INTERVENTIONAL
2020-05-01
2024-02-28
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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GIM patient
The patients with GIM will be assessed at both GIM and normal mucosa during endoscopy.
Artificial intelligence
The AI algorithm based on the convolutional neural network (CNN) will be used for analysis the pictures of gastric intestinal metaplasia and normal mucosa. Then AI will be used as a diagnostic tool for GIM during routine endoscopy by using pathology as a gold standard.
Interventions
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Artificial intelligence
The AI algorithm based on the convolutional neural network (CNN) will be used for analysis the pictures of gastric intestinal metaplasia and normal mucosa. Then AI will be used as a diagnostic tool for GIM during routine endoscopy by using pathology as a gold standard.
Eligibility Criteria
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Inclusion Criteria
* Able to sign a consent form
Exclusion Criteria
* Coagulopathy
* Pregnancy/Breast feeding
18 Years
ALL
No
Sponsors
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King Chulalongkorn Memorial Hospital
OTHER
Responsible Party
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Rapat Pittayanon
Principle investigator
Locations
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Rapat Pittayanon
Pathum Wan, Bangkok, Thailand
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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RP018
Identifier Type: -
Identifier Source: org_study_id
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