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GastroBot: Artificial Intelligence Applied to Bowel Preparation

NCT05836064 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 388

Last updated 2023-11-24

No results posted yet for this study

Summary

It is estimated that about 20% of colonoscopies have inadequate preparation. (5) This is associated with lengthy procedures and less detection of adenomas, reduces the screening intervals, and increases the costs and risks of complications. Several strategies have been proposed to improve the quality of bowel preparation. Mobile healthcare Apps have been developed to increase adherence to bowel preparation agents, improving the quality of bowel preparation. However, adherence to mobile healthcare Apps is also a quality criterion and a pending problem to solve with this new technology.

GastroBot is a new technology based on artificial intelligence that allows, through a software bot, to carry out a personalized follow-up of the patient's bowel cleansing, advising the patient to overcome contingencies that arise with the preparation, which in other circumstances could lead to the failure of it. The primary aim of this study is to determine the improvement in bowel preparation after GastroBot assistance compared with the traditional explanation. As a secondary aim, this study also pursues to determine adenoma and polyp detection rates (ADR and PDR, respectively), bowel preparation agents' tolerance, and GastroBot functionality.

Conditions

  • Colonic Polyp
  • Colonic Neoplasms
  • Colonic Disease
  • Colonic Adenoma

Interventions

DEVICE

GastroBot

An artificial intelligence-developed and WhatsApp-based software bot. It will send the instructions to the patient through the WhatsApp application, guided by the software bot with multiple and personalized alternative instructions according to results.

OTHER

Conventional explanation

Patients will receive in writing detailed explanation about bowel preparation with polyethylene glycol

Sponsors & Collaborators

  • Institute of Gastroenterology and Advance Endoscopy

    lead OTHER

Principal Investigators

  • Manuel Valero, MD · Instituto de Gastroenterología y Endoscopía de Avanzada (IGEA)

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

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

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2024-12-01
Completion
2025-04-28

Countries

  • Argentina

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 NCT05836064 on ClinicalTrials.gov