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Evaluation of the Clinical Effectiveness of Upper Gastrointestinal Endoscopy Reporting System

NCT05851885 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 125

Last updated 2023-05-10

No results posted yet for this study

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

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.

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Principal Investigators

  • Honggang Yu, MD · Wuhan University Renmin Hospital

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-05-20
Primary Completion
2024-04-20
Completion
2024-05-20

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05851885 on ClinicalTrials.gov