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Artificial Intelligence and Bowel Cleansing Quality

NCT05871814 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 774

Last updated 2025-06-04

No results posted yet for this study

Summary

The main purpose of the study is to assess if a strategy based on a mobile application linked to a neural network is useful for guiding colon cleansing in a more personalized way is better than the usual care defined as regular oral and written instructions. The secondary aim will be the acceptance of this artificial intelligence device defined as the proportion of patients assigned to the intervention group that actually used the device.

Conditions

  • Cleansing Quality of the Colon

Interventions

DEVICE

Colon preparation guided by an artificial intelligence device

Regular oral and written information will be provided to this group. In addition, participants will take a picture of the last rectal effluent with the smart phone that have to upload to a server. A convolutional neural network will assess whether the bowel preparation is correct or not (clean or not). The system will issue specific recommendations based on the quality of cleansing

Sponsors & Collaborators

  • University of La Laguna

    lead OTHER

Principal Investigators

  • Antonio Z Gimeno García, MD, PhD · Hospital Universitario de Canarias

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-15
Primary Completion
2024-08-30
Completion
2024-08-31

Countries

  • Spain

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 NCT05871814 on ClinicalTrials.gov