Clinical Research Directory

Artificial Intelligence-based Video Analysis to Detect Infantile Spasms

Sponsor: Johns Hopkins University

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.

Official title: A Machine Learning Approach to Infantile Spasms Recognition in Video Recordings

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