NCT06610630

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 513 (actual)
• Sponsor: Jianning Yao · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

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

Type	Name	Description
DIAGNOSTIC_TEST	Assessment of Bowel Preparation Using AI-Driven Smartphone Applications	Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Timeline

• Start date: 2024-10-01
• Primary completion: 2025-03-31
• Completion: 2025-03-31
• First posted: 2024-09-24
• Last updated: 2025-05-14

Locations

1 site across 1 country: China