AI-assisted Endoscopy Report System In Improving Reporting Quality
A Single-center Study of an AI-assisted Endoscopy Report System In Improving Reporting Quality
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Honggang Yu, MD
- Phone Number: 13871281899
- Email: yuhonggang1969@163.com
Study Locations
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Wuhan, China, 430060
- Recruiting
- Renmin Hospital of Wuhan University
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Males or females who are over 18 years old;
- After qualified medical education and obtained the Certificate of Chinese medical practitioner;
Exclusion Criteria:
- Doctors without qualified medical education and didn't obtaine the Certificate of Chinese medical practitioner;
- The researcher believes that the subjects are not suitable for participating in clinical trials.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: DEVICE_FEASIBILITY
- Allocation: RANDOMIZED
- Interventional Model: CROSSOVER
- Masking: NONE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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EXPERIMENTAL: with Artificial intelligence assistant system
Endoscopists would complete the endoscopy report with the assistance of the artificial intelligence system.
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The artificial intelligence assistant system can automatically capture images, prompt abnormal lesions and the parts covered by the examination (the stomach is divided into 26 parts).
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NO_INTERVENTION: without Artificial intelligence assistant system
Endoscopists would complete the endoscopy report without special prompts.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Integrity of report lesion
Time Frame: one month
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Report lesion integrity with or without AI-assisted.
Calculation method = number of report lesions / total number of lesions x 100%
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one month
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Accuracy of lesion location
Time Frame: one month
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Accuracy of lesion location with or without AI-assisted.
Calculation method = number of lesion with correct location / total number of lesions x 100%
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one month
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Integrity of lesion in captured images
Time Frame: one month
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Lesion integrity in captured images with or without AI-assisted.
Calculation method = number of lesions in captured images / total number of lesions x 100%
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one month
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Integrity of standard part in captured images
Time Frame: one month
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Lesion integrity in captured images with or without AI-assisted.
Calculation method = number of standard parts in captured images / the actual number of standard parts covered by the examination x 100%
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one month
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- EA-21-010
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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