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Artificial Intelligence-based Video Analysis to Detect Infantile Spasms

NCT06315829 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 61

Last updated 2026-05-07

No results posted yet for this 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.

Conditions

  • Infantile Spasms

Interventions

DEVICE

Spasm Vision

Machine learning software developed to analyze videos and accurately distinguish infantile spasms from visually similar movements.

Sponsors & Collaborators

Principal Investigators

  • Eric Kossoff, MD · Johns Hopkins Neurology

  • Rama Chellappa, PhD · Johns Hopkins Biomedical Engineering

Eligibility

Max Age
2 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-08-26
Primary Completion
2026-05-06
Completion
2026-05-06

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06315829 on ClinicalTrials.gov