AI-assisted Endoscopy Report System In Improving Reporting Quality

Study Overview
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Brief Summary
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In this study, we proposed a prospective study about the effectiveness of artificial intelligence system for endoscopy report quality in endoscopists. The subjects would be divided into two groups. For the collected endoscopic videos, group A would complete the endoscopy report with the assistance of the artificial intelligence system. The artificial intelligence assistant system can automatically capture images, prompt abnormal lesions and the parts covered by the examination (the upper gastrointestinal tract is divided into 26 parts). Group B would complete the endoscopy report without special prompts. After a period of forgetting, the two groups switched, that is, group A without AI assistance and group B with AI assistance to complete the endoscopy report. Then, the completeness of the report lesion, the accuracy of the lesion location, the completeness of the lesion and the standard part in the captured images, and so on were compared with or without AI assistance.

Official Title
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A Single-center Study of an AI-assisted Endoscopy Report System In Improving Reporting Quality

Conditions
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Artificial Intelligence, Endoscopy

Intervention / Treatment
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* Diagnostic Test: Artificial intelligence assistant system


Participation Criteria
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Eligibility Criteria
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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.

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 70 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Device Feasibility
Allocation: Randomized
Intervention Model: Crossover Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: with Artificial intelligence assistant system<br>Endoscopists would complete the endoscopy report with the assistance of the artificial intelligence system. | Diagnostic Test: Artificial intelligence assistant system<br>* 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).<br>|
| No Intervention: without Artificial intelligence assistant system<br>Endoscopists would complete the endoscopy report without special prompts. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Integrity of report lesion | Report lesion integrity with or without AI-assisted. Calculation method = number of report lesions / total number of lesions x 100% | one month | 
| Accuracy of lesion location | Accuracy of lesion location with or without AI-assisted. Calculation method = number of lesion with correct location / total number of lesions x 100% | one month | 
| Integrity of lesion in captured images | Lesion integrity in captured images with or without AI-assisted. Calculation method = number of lesions in captured images / total number of lesions x 100% | one month | 
| Integrity of standard part in captured images | 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% | one month |