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.
Study Type
OBSERVATIONAL
Enrollment
500
A classification model based on ML using plantar pressure data to distinguish between scoliosis patients and healthy volunteers.
Time frame: 6 months after data collection
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