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

Not Applicable

Completed

• Conditions: Colorectal Polyps
• Interventions: Diagnostic Test: Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

• Registration Number: NCT06610630
• Lead Sponsor: Jianning Yao

Brief 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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2024-09-21
• Study First Submitted QC: 2024-09-21
• Study First Posted: 2024-09-24
• Study Start: 2024-10-01
• Primary Completion: 2025-03-31
• Study Completion: 2025-03-31
• Status Verified: 2025-05
• Last Update Submitted: 2025-05-11
• Last Update Posted: 2025-05-14

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 513

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.

Exclusion Criteria

• Patients with contraindications for colonoscopy. Individuals in whom successful cecal intubation could not be achieved.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
AI-assisted group	Assessment of Bowel Preparation Using AI-Driven Smartphone Applications	-

Primary Outcome Measures

Name	Time	Method
Boston Bowel Preparation Scale	During Colonoscopy
Dosage of Bowel Cleansing Agents	During Bowel Preparation Before Colonoscopy

Trial Locations

Locations (1)

The First Affiliated Hospital of Zhengzhou University; 🇨🇳 Zhengzhou, Henan, China