NCT05851885

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

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 125 (estimated)
• Sponsor: Renmin Hospital of Wuhan University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

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.

Conditions

• Endoscopy, Gastrointestinal
• Artificial Intelligence

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	AI-based reporting system	AI-based reporting system is a software platform for real-time analysis and records of abnormalities and landmarks during endoscopy.

Timeline

• Start date: 2023-05-20
• Primary completion: 2024-04-20
• Completion: 2024-05-20
• First posted: 2023-05-10
• Last updated: 2023-05-10