Evaluation of the Clinical Effectiveness of Upper Gastrointestinal Endoscopy Reporting System
A Single-center, Prospective, Parallel Randomized Controlled Study Evaluating the Clinical Effectiveness of an Intelligent Graphic Report System for Upper Gastrointestinal Endoscopy
1 other identifier
interventional
125
0 countries
N/A
Brief Summary
The objective of this study is to assess the effectiveness of an AI-based reporting system for upper gastrointestinal endoscopy. The primary question that this study aims to address is whether the reporting system can enhance the completeness and accuracy of endoscopic reports when assisted by AI, as drafted by endoscopists. Patients will be randomly assigned to either the experimental group or the control group. In the experimental group, physicians will draft EGD reports with the assistance of the AI-based reporting system, while in the control group, physicians will 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started May 2023
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 30, 2023
CompletedFirst Posted
Study publicly available on registry
May 10, 2023
CompletedStudy Start
First participant enrolled
May 20, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 20, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
May 20, 2024
CompletedMay 10, 2023
April 1, 2023
11 months
April 30, 2023
April 30, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Completeness of reporting lesions
Calculation method = number of report lesions / total number of lesions x 100%
one month
Secondary Outcomes (6)
Completeness of report drafting on lesion features
one month
Accuracy of report drafting on lesion features
one month
Reporting time
one month
Completeness of reporting lesions of AI system
one month
Accuracy of report drafting on lesion features of AI system
one month
- +1 more secondary outcomes
Study Arms (2)
Experimental group
EXPERIMENTALPhysicians draft EGD reports with the assistance of the AI-based reporting system.
Control group
NO INTERVENTIONPhysicians 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.
Interventions
AI-based reporting system is a software platform for real-time analysis and records of abnormalities and landmarks during endoscopy.
Eligibility Criteria
You may qualify if:
- Aged 18 years
- Aim to undergo screening, surveillance, and diagnosis
- Undergo sedated EGD
- Able to read, understand, and sign informed consent
You may not qualify if:
- EGD contraindications
- Not suitable for sedated endoscopy after anaesthesia evaluation
- Biopsy contraindications
- Active upper gastrointestinal bleeding or emergency oesophagogastroduodenoscopy (EGD)
- Pregnancy
- Upper gastrointestinal surgery or residual stomach
- Not suitable for recruitment after investigator evaluation because of other high-risk conditions
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Officials
- PRINCIPAL INVESTIGATOR
Honggang Yu, MD
Wuhan University Renmin Hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 30, 2023
First Posted
May 10, 2023
Study Start
May 20, 2023
Primary Completion
April 20, 2024
Study Completion
May 20, 2024
Last Updated
May 10, 2023
Record last verified: 2023-04