Artificial Intelligence-based Video Analysis to Detect Infantile Spasms

Completed

Conditions studied: Infantile Spasms

In brief

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.

Key facts

Study ID

NCT06315829

Run by

Johns Hopkins University

People needed

61

Starts

2024-08-26

Expected to finish

2026-05-06

Last updated by the study team

2026-05-07

Who can join

Age: any, up to 2. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Participant age less than 24 months
• Participant evaluated in the Johns Hopkins Outpatient Center, Johns Hopkins Pediatric Emergency Department or Johns Hopkins Inpatient Units due to spells of abnormal movement or seizure
• Participant evaluated by a pediatric neurologist during the outpatient or inpatient visit at Johns Hopkins Hospital
• At least one video recording of the spell of abnormal movement produced by the parent/guardian available for provider review

You may not qualify if…

• Poor video recording quality
• Entire patient is not in frame

Where it is running

• Johns Hopkins Hospital — Baltimore, Maryland, United States

Full record on ClinicalTrials.gov

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