Evaluation of the Clinical Effectiveness of Upper Gastrointestinal Endoscopy Reporting System
NCT ID: NCT05851885
Last Updated: 2023-05-10
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
125 participants
INTERVENTIONAL
2023-05-20
2024-05-20
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Experimental group
Physicians draft EGD reports with the assistance of the AI-based reporting system.
AI-based reporting system
AI-based reporting system is a software platform for real-time analysis and records of abnormalities and landmarks during endoscopy.
Control group
Physicians use the conventional reporting system to draft EGD reports. At the same time, the AI-based reporting system will automatically generate a report of the EGD examination.
No interventions assigned to this group
Interventions
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AI-based reporting system
AI-based reporting system is a software platform for real-time analysis and records of abnormalities and landmarks during endoscopy.
Eligibility Criteria
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Inclusion Criteria
2. Aim to undergo screening, surveillance, and diagnosis
3. Undergo sedated EGD
4. Able to read, understand, and sign informed consent
Exclusion Criteria
2. Not suitable for sedated endoscopy after anaesthesia evaluation
3. Biopsy contraindications
4. Active upper gastrointestinal bleeding or emergency oesophagogastroduodenoscopy (EGD)
5. Pregnancy
6. Upper gastrointestinal surgery or residual stomach
7. Not suitable for recruitment after investigator evaluation because of other high-risk conditions
18 Years
ALL
Yes
Sponsors
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Renmin Hospital of Wuhan University
OTHER
Responsible Party
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Principal Investigators
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Honggang Yu, MD
Role: PRINCIPAL_INVESTIGATOR
Wuhan University Renmin Hospital
Central Contacts
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Other Identifiers
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EA-23-007
Identifier Type: -
Identifier Source: org_study_id
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