NCT05479253

AI-assisted Endoscopy Report System In Improving Reporting Quality

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

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 10 (estimated)
• Sponsor: Renmin Hospital of Wuhan University · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Accepted

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.

Conditions

• Artificial Intelligence
• Endoscopy

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Artificial intelligence assistant system	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).

Timeline

• Start date: 2021-11-01
• Primary completion: 2022-12-01
• Completion: 2022-12-01
• First posted: 2022-07-29
• Last updated: 2022-08-10

Locations

1 site across 1 country: China