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AI-assisted Colonoscopy Report System In Improving Reporting Quality

NCT05829590 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10

Last updated 2023-04-25

No results posted yet for this study

Summary

In this study, the investigators proposed a prospective study about the effectiveness of speech and image recognition-based system in improving reporting quality during colonoscopy for colonoscopy report quality in endoscopists. The participants would be divided into two groups. For the collected colonoscopy videos, group A would record their observations with the assistance of the artificial intelligence system. The artificial intelligence assistant system can automatically capture bowel segment images and prompt abnormal lesions. Group B would complete the endoscopy report without special prompts. After a period of washout period, the two groups switched, that is, group A without AI assistance and group B with AI assistance to complete the colonoscopy report. Then, the completeness of the colonoscopy report, the completeness of capturing anatomical landmarks and detected lesions, the completeness of structured description, the accuracy of lesion reporting, the time for reporting and the satisfaction with the reporting system are compared with or without AI assistance.

Conditions

  • Artificial Intelligence
  • Colonoscopy

Interventions

DIAGNOSTIC_TEST

Artificial intelligence assistant system

The artificial intelligence assistant system can automatically capture bowel segment images and prompt abnormal lesions based on speech recognition and deep learning.

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
2023-05-15
Primary Completion
2023-06-15
Completion
2023-07-31

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 NCT05829590 on ClinicalTrials.gov