Ignite Creation Date:
2024-05-11 @ 8:30 AM
Last Modification Date:
2024-10-26 @ 3:29 PM
Study NCT ID:
NCT06406062
Status:
NOT_YET_RECRUITING
Last Update Posted:
2024-05-09
First Post:
2024-04-25
Brief Title:
Artificial Intelligence-assisted System in Colonoscopy
Sponsor:
Renmin Hospital of Wuhan University
Organization:
Renmin Hospital of Wuhan University
Study Overview
Official Title:
To Evaluate the Effectiveness and Safety of an Artificial Intelligence-assisted System in Colonoscopy in a Real-world Obsevational Multicenter Study
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
In recent years computer-aided diagnosis system based on artificial intelligence AI has been used in colorectal polyp detection In recent years computer-aided diagnosis system based on artificial intelligence AI has been used in colorectal polyp detection However whether AI-assisted can improve the adenoma-detection rate ADR is inconclusive This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control
This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter prospective real world study However whether AI-assisted can improve the adenoma-detection rate ADR is inconclusive This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control
This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter prospective real world study
This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter prospective real world study However whether AI-assisted can improve the adenoma-detection rate ADR is inconclusive This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control
This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter prospective real world study
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None