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AI-assisted Endoscopy Report System In Improving Reporting Quality

NCT05479253 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10

Last updated 2022-08-10

No results posted yet for this study

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

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).

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-11-01
Primary Completion
2022-12-01
Completion
2022-12-01

Countries

  • China

Study Locations

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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 NCT05479253 on ClinicalTrials.gov