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Detection of Scoliosis

NCT07581015 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2026-05-12

No results posted yet for this study

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.

Conditions

  • Adolescent Idiopathic Scoliosis (AIS)

Sponsors & Collaborators

  • Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

    collaborator OTHER

  • Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University

    collaborator OTHER

  • University College, London

    lead OTHER

Eligibility

Min Age
10 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-06-30
Primary Completion
2027-07-31
Completion
2028-07-31

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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 NCT07581015 on ClinicalTrials.gov