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A Deep Learning-based System for the Bowel Preparation Evaluation Before Colonoscopy

NCT05801250 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 249

Last updated 2023-04-06

No results posted yet for this study

Summary

Educational interventions provided to patients may improve colon cleansing. The aims of this study were to develop an AI platform which can help patients evaluate the adequacy of bowel cleansing without the aid of caregivers and to investigate whether there was a statistically positive correlation between the Image rating and the BBPS score.

Conditions

  • Bowel Preparation

Interventions

BEHAVIORAL

AI Platform

AI platform can help patients evaluate the adequacy of bowel cleansing without the aid of caregivers.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Li yanqing, Professor · Qilu Hospital, Shandong University

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-04-02
Primary Completion
2023-06-02
Completion
2023-06-10

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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 NCT05801250 on ClinicalTrials.gov