Ignite Creation Date:
2024-05-06 @ 2:29 PM
Last Modification Date:
2024-10-26 @ 1:32 PM
Study NCT ID:
NCT04339855
Status:
UNKNOWN
Last Update Posted:
2020-09-07
First Post:
2020-04-07
Brief Title:
AI for Colorectal Polyp Detection in Endoscopy
Sponsor:
Johannes Gutenberg University Mainz
Organization:
Johannes Gutenberg University Mainz
Study Overview
Official Title:
Artificial Intelligence Combined With LCI for Colorectal Polyp Detection
Status:
UNKNOWN
Status Verified Date:
2020-09
Last Known Status:
ACTIVE_NOT_RECRUITING
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:
Linked color imaging LCI has shown its effectiveness in multiple randomized controlled trials for enhanced colorectal polyp detection Most recently artificial intelligence AI with deep learning through convolutional neural networks has dramatically improved and is increasingly recognized as a promising new technique enhancing colorectal polyp detection Study aim was to evaluate a new developed deep-learning computer-aided detection CAD system in combination with LCI for colorectal polyp detection
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