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NOT YET RECRUITING
NCT07581015
Detection of Scoliosis
Sponsor: University College, London
View on ClinicalTrials.gov
Summary
This study aims to evaluate whether plantar pressure data collected during standing and walking can be used with machine learning to support early detection of scoliosis in young people. Patients with scoliosis and healthy volunteers aged 10-18 will undergo a short assessment using a pressure mat.
Official title: Early Detection of Adolescent Idiopathic Scoliosis Using Machine Learning on Plantar Pressure Data
Key Details
Gender
All
Age Range
10 Years - 18 Years
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2026-06
Completion Date
2028-07
Last Updated
2026-05-12
Healthy Volunteers
Yes