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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