Ignite Creation Date:
2024-05-06 @ 8:15 PM
Last Modification Date:
2024-10-26 @ 3:24 PM
Study NCT ID:
NCT06315829
Status:
RECRUITING
Last Update Posted:
2024-06-05
First Post:
2024-03-11
Brief Title:
Artificial Intelligence-based Video Analysis to Detect Infantile Spasms
Sponsor:
Johns Hopkins University
Organization:
Johns Hopkins University
Study Overview
Official Title:
A Machine Learning Approach to Infantile Spasms Recognition in Video Recordings
Status:
RECRUITING
Status Verified Date:
2024-08
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:
Infantile spasms are a type of seizure linked to developmental issues Unfortunately they are often misdiagnosed causing delays in treatment The purpose of this study is to develop a computer program that can reliably differentiate infantile spasms from similar yet benign movements in videos This computer program will learn from videos taken by parents of study participants Quickly recognizing and treating infantile spasms is crucial for ensuring the best developmental outcomes
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