Status:
COMPLETED
Artificial Intelligence Identifying Polyps in Real-world Colonoscopy
Lead Sponsor:
Zhaoshen Li
Conditions:
Sensitivity of the ADS in Identifying Polyps in Real-world Colonoscopy
Mean Number of Polyps Per Colonoscopy for Colonoscopists and Colonoscopists + ADS
Eligibility:
All Genders
18-75 years
Brief Summary
Recently, artificial intelligence (AI) assisted image recognition has made remarkable breakthroughs in various medical fields with the developing of deep learning and conventional neural networks (CNN...
Detailed Description
The ADS were established in changhai digestive endoscopy center to assess its efficacy in clinical practice. The ADS automatically initiated once the ileocecal valve was pictured by the colonoscopist ...
Eligibility Criteria
Inclusion
- patients receiving screening colonoscopy
- patients receiving surveillance colonoscopy
- patients receiving diagnostic colonoscopy
Exclusion
- patients with declined consent
- patients with poor bowel preparation
- patients with failed cecal intubation
- patients with colonic resection
- patients with inflammatory bowel diseases
- patients with polyposis
Key Trial Info
Start Date :
November 1 2018
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
December 10 2018
Estimated Enrollment :
209 Patients enrolled
Trial Details
Trial ID
NCT03761771
Start Date
November 1 2018
End Date
December 10 2018
Last Update
December 17 2018
Active Locations (2)
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1
Changhai Hospital, Second Military Medical University
Shanghai, China, 200433
2
Changhai Hospital
Shanghai, China, 200433