NCT04954677

A Real-time Quality Control System of Magnetic-controlled Capsule Gastroscopy

A Prospective Randomized Controlled Trial of AI-box , a Real-time Quality Control System of Magnetic-controlled Capsule Gastroscopy.

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 194 (actual)
• Sponsor: Shandong University · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

With the rapid development of artificial intelligence technology, more and more deep learning technology has been applied to medicine. Our research is to develop a set of quality control system for magnetic capsule gastroscope using deep learning technology, and conduct a randomized controlled trial to verify its practical efficiency.

Detailed description

The accuracy of magnetic controlled capsule endoscopy(MCCE) in the diagnosis of stomach lesions is highly consistent with the traditional electronic gastroscopy. It has become a new comfortable and safe form for screening and It is also the beneficial complementarity of the traditional electronic gastroscope. To ensure the medical quality of magnetic controlled capsule endoscopy system, Based on Artificial Intelligence Deep Learning Technology ,investigators developed the Magnetic-controlled Capsule Endoscopic Assisted Quality Control System(AI-box).Randomized controlled trials will be conducted on prospective subjects to verify the quality control efficiency.

Conditions

• Magnet Controlled Capsule Endoscopy

Interventions

Type	Name	Description
OTHER	AI-box	Automatic quality-control system（AI-box）could real-time measure endoscopic inspection completeness, evaluate gastric cleanliness.

Timeline

• Start date: 2021-08-27
• Primary completion: 2022-07-28
• Completion: 2022-08-04
• First posted: 2021-07-08
• Last updated: 2025-01-03

Locations

1 site across 1 country: China