Artificial Intelligence-based Video Analysis to Detect Infantile Spasms

Last updated: August 26, 2024
Sponsor: Johns Hopkins University
Overall Status: Active - Recruiting

Phase

N/A

Condition

Pain (Pediatric)

Infantile Spasms

Seizure Disorders (Pediatric)

Treatment

Spasm Vision

Clinical Study ID

NCT06315829
IRB00429753
  • Ages < 2
  • All Genders

Study 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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Participant age less than 24 months

  • Participant evaluated in the Johns Hopkins Outpatient Center, Johns HopkinsPediatric Emergency Department or Johns Hopkins Inpatient Units due to spells ofabnormal movement or seizure

  • Participant evaluated by a pediatric neurologist during the outpatient or inpatientvisit at Johns Hopkins Hospital

  • At least one video recording of the spell of abnormal movement produced by theparent/guardian available for provider review

Exclusion

Exclusion Criteria:

  • Poor video recording quality

  • Entire patient is not in frame

Study Design

Total Participants: 200
Treatment Group(s): 1
Primary Treatment: Spasm Vision
Phase:
Study Start date:
August 26, 2024
Estimated Completion Date:
May 31, 2026

Connect with a study center

  • Johns Hopkins Hospital

    Baltimore, Maryland 21287
    United States

    Active - Recruiting

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