- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04485715
Application of AI in Polypectomy
July 23, 2020 updated by: Yanqing Li
Application of Artificial Intelligence in Colorectal Polypectomy
The aim of this study was to assess the performance of AI system in polypectomy
Study Overview
Study Type
Interventional
Enrollment (Anticipated)
1000
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Shandong
-
Jinan, Shandong, China
- Recruiting
- Department of Gastroenterology, Qilu Hospital, Shandong University
-
Contact:
- Yanqing Li, PhD, MD
- Phone Number: 86-531-82166095
- Email: liyanqing@sdu.edu.cn
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 80 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- to undergo colorectal polypectomy;
- agree to give written informed consent
Exclusion Criteria:
- patients with the contraindications to colorectal polypectomy;
- patients with a history of inflammatory bowel disease (IBD), CRC, colorectal surgery;
- patients with high suspicion of polyposis syndromes, IBD and typical advanced CRC;
- patients refused to participate in the trial;
- the procedure cannot be completed due to stenosis, obstruction, huge occupying lesions, or solid stool;
- the procedure have to be terminated due to complications of anaesthesia.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: control group
|
|
|
Experimental: AI-aided group
|
The real-time assistance of AI system
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
polypectomy time
Time Frame: 12 months
|
the time for detection in polypectomy
|
12 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Anticipated)
July 21, 2020
Primary Completion (Anticipated)
July 21, 2021
Study Completion (Anticipated)
September 21, 2021
Study Registration Dates
First Submitted
July 14, 2020
First Submitted That Met QC Criteria
July 23, 2020
First Posted (Actual)
July 24, 2020
Study Record Updates
Last Update Posted (Actual)
July 24, 2020
Last Update Submitted That Met QC Criteria
July 23, 2020
Last Verified
July 1, 2020
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2020SDU-QILU-0714
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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