AI-assisted Endoscopy Report System In Improving Reporting Quality

Not Applicable

• Conditions: Artificial Intelligence; Endoscopy
• Interventions: Diagnostic Test: Artificial intelligence assistant system

• Registration Number: NCT05479253
• Lead Sponsor: Renmin Hospital of Wuhan University

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Study Start: 2021-11-01
• Status Verified: 2022-07
• Study First Submitted: 2022-07-27
• Study First Submitted QC: 2022-07-27
• Study First Posted: 2022-07-29
• Last Update Submitted: 2022-08-08
• Last Update Posted: 2022-08-10
• Primary Completion: 2022-12-01
• Study Completion: 2022-12-01

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 10

Inclusion Criteria

1. Males or females who are over 18 years old;
2. After qualified medical education and obtained the Certificate of Chinese medical practitioner;

Exclusion Criteria

1. Doctors without qualified medical education and didn't obtaine the Certificate of Chinese medical practitioner;
2. The researcher believes that the subjects are not suitable for participating in clinical trials.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: CROSSOVER

Arm && Interventions

Group	Intervention	Description
with Artificial intelligence assistant system	Artificial intelligence assistant system	Endoscopists would complete the endoscopy report with the assistance of the artificial intelligence system.

Primary Outcome Measures

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

Trial Locations

Locations (1)

Renmin Hospital of Wuhan University; 🇨🇳 Wuhan, China