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

NCT06610630 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 513

Last updated 2025-05-14

No results posted yet for this study

Summary

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.

Conditions

  • Colorectal Polyps

Interventions

DIAGNOSTIC_TEST

Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Sponsors & Collaborators

  • Jianning Yao

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-10-01
Primary Completion
2025-03-31
Completion
2025-03-31

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 NCT06610630 on ClinicalTrials.gov