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A Machine Learning Approach to Infantile Spasms Recognition in Video Recordings
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.
Age
0 - 2 years
Sex
ALL
Healthy Volunteers
No
Johns Hopkins Hospital
Baltimore, Maryland, United States
Start Date
August 26, 2024
Primary Completion Date
May 1, 2026
Completion Date
May 1, 2026
Last Updated
August 19, 2025
200
ESTIMATED participants
Spasm Vision
DEVICE
Lead Sponsor
Johns Hopkins University
NCT03976076
NCT00441896
NCT01828437
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