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| Name | Class |
|---|---|
| Xinhua Hospital, Shanghai Jiao Tong University School of Medicine | OTHER |
| Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University | OTHER |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| scoliosis patients | |||
| healthy volunteers |
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| Measure | Description | Time Frame |
|---|---|---|
| A classification model based on ML using plantar pressure data to distinguish between scoliosis patients and healthy volunteers. | 6 months after data collection |
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Inclusion Criteria:
Exclusion Criteria
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Young people aged 10-18 years will be recruited from scoliosis clinics at the Royal National Orthopaedic Hospital (patients with a confirmed diagnosis of scoliosis) and through community recruitment for healthy volunteers. Eligible participants must be able to stand and/or walk on a pressure mat.
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