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Clinical Trial 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.


Clinical Trial 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. ;


Study Design


Related Conditions & MeSH terms

  • Magnet Controlled Capsule Endoscopy

NCT number NCT04954677
Study type Interventional
Source Shandong University
Contact Zhen Li, PhD
Phone 18560086106
Email lizhenh@hotmail.com
Status Recruiting
Phase N/A
Start date August 27, 2021
Completion date May 2022

See also
  Status Clinical Trial Phase
Completed NCT04278196 - Computer Assisted Quality-monitoring for Magnet-controlled Capsule Endoscopy: a Prospective Case-control Study.