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

NCT06610630 | Completed DMC

• 1 other identifier: 2024-KY-1219-001
• Study Type: interventional
• Target: 513
• Locations: 1 country
• Sites: 1

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.

Conditions

Colorectal Polyps

Keywords

Colonoscopy; bowel preparation; artificial intelligence; smartphone; BBPS score

Outcome Measures

Primary Outcomes (2)

• Boston Bowel Preparation Scale

  During Colonoscopy

• Dosage of Bowel Cleansing Agents

  During Bowel Preparation Before Colonoscopy

Study Arms (2)

AI-assisted group

EXPERIMENTAL

Diagnostic Test: Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

Conventional control group

NO INTERVENTION

Interventions

Assessment of Bowel Preparation Using AI-Driven Smartphone Applications DIAGNOSTIC_TEST

Assessment of Bowel Preparation Using AI-Driven Smartphone Applications

AI-assisted group

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

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

Sponsors & Collaborators

• Jianning Yao: lead

Study Sites (1)

The First Affiliated Hospital of Zhengzhou University

Zhengzhou, Henan, 450052, China

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: PREVENTION
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Deputy Chief Physician

Study Record Dates

• First Submitted: September 21, 2024
• First Posted: September 24, 2024
• Study Start: October 1, 2024
• Primary Completion: March 31, 2025
• Study Completion: March 31, 2025
• Last Updated: May 14, 2025

Record last verified: 2025-05

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)