Ignite Creation Date:
2025-12-24 @ 11:58 PM
Ignite Modification Date:
2026-01-06 @ 2:21 AM
Study NCT ID:
NCT03773458
Status:
COMPLETED
Last Update Posted:
2018-12-12
First Post:
2018-12-10
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis
Sponsor:
Sun Yat-sen University
Organization:
Study Overview
Official Title:
Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis Using Back Images
Status:
COMPLETED
Status Verified Date:
2018-12
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:
Traditional school scoliosis screening approaches remains debatable due to unnecessary referal and excessive cost. Deep learning algorithms have proven to be powerful tools for the detection of multiple diseases; however, the application of such methods in scoliosis screening requires further assessment and validation. Here, the investigators develop an artificial system for the automated screening of scoliosis using disrobed back images, and conduct clinical trial to validate if the diagnostic system can offsetting the shortcomings of human doctors.
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?: