Early Detection of Adolescent Idiopathic Scoliosis Using Machine Learning on Plantar Pressure Data
Sponsor: University College, London
Trial Details
| Condition | Adolescent Idiopathic Scoliosis (AIS) |
| Status | Not_yet_recruiting |
| Participants | 500 |
| Est. Completion | 1 July 2027 |
| Last Updated | 12 May 2026 |
Primary Outcome
A classification model based on ML using plantar pressure data to distinguish between scoliosis patients and healthy volunteers.
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: * Healthy Controls: Adolescents without any spinal condition or significant musculoskeletal issues, and with no prior history of scoliosis, to provide normal plantar pressure data for comparison. * Scoliosis Diagnosis: Adolescents diagnosed with adolescent idiopathic scoliosis (AIS) by a healthcare professional (through clinical evaluation and/or radiographic assessment) are eligible. * Age: Participants must be between the ages of 10 and 18 years at the time of recruitment. * Willingness to Participate: Participants and their parent(s)/guardian(s) must provide informed consent/assent prior to participation. * Ability to Complete Study Procedures: Participants must be able to complete the plantar pressure measurement test, which requires standing on a pressure mat for a few minutes. Exclusion Criteria * Severe Pain or Discomfort: Participants unable to stand or walk comfortably due to pain or musculoskeletal issues. * Non-cooperation: Participants who are unable or unwilling to follow instructions or consent/assent procedures. * Uncontrolled Medical Conditions: Adolescents with uncontrolled conditions (e.g., cardiovascular or endocrine disorders) compromising participation. * Recent Foot Injuries or Conditions: Participants with foot injuries or conditions (e.g., wounds, infections) that may interfere with plantar pressure measurement.
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