Research on the Application of AI Image Recognition-Based Smartphone Apps in Personalized Bowel Preparation

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

513 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-10-01

Study Completion Date

2025-03-31

Brief Summary

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Colorectal cancer, as one of the most common malignant tumors of the digestive system, has a high incidence and mortality rate worldwide. High-quality colonoscopy is essential for the early detection and prevention of colorectal cancer and is key to improving the survival rates of patients. However, traditional colonoscopy faces numerous challenges in bowel preparation, such as inadequate preparation and a lack of personalized cleansing approaches. Therefore, it is particularly important to develop timely and efficient individualized bowel preparation methods. Artificial intelligence, especially deep learning technologies, has shown great potential in the medical field. This study aims to leverage the advantages of artificial intelligence to optimize the bowel preparation process before colonoscopy, creating a personalized bowel preparation plan that effectively improves the efficacy of colorectal cancer screening and diagnosis.

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Detailed Description

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Conditions

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Colorectal Polyps

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

PREVENTION

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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AI-assisted group

Group Type EXPERIMENTAL

Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Intervention Type DIAGNOSTIC_TEST

Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Conventional control group

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients who underwent painless colonoscopy at the Digestive Endoscopy Center of the First Affiliated Hospital of Zhengzhou University and signed the informed consent for the clinical trial.

Individuals who use smartphones.