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AI-Powered Scoliosis Auto-Analysis System Multicenter Development and Validations

NCT05146193 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2500

Last updated 2026-05-01

No results posted yet for this study

Summary

The investigators aim to use artificial intelligence (AI) to help clinicians in diagnosing and assessing spinal deformities.

Conditions

  • Spinal Deformity

Interventions

OTHER

Nude back photo

Nude back photo at baseline and at follow-ups for each patient and visual severity and curve type classifications

Sponsors & Collaborators

  • Peking Union Medical College

    collaborator OTHER

  • Peking University Third Hospital

    collaborator OTHER

  • Beijing Chao Yang Hospital

    collaborator OTHER

  • University of Malaya

    collaborator OTHER

  • Nara Medical University

    collaborator OTHER

  • Hamamatsu University

    collaborator OTHER

  • Ruijin Hospital

    collaborator OTHER

  • Huashan Hospital

    collaborator OTHER

  • Zhejiang University

    collaborator OTHER

  • Ji Shui Tan Hospital

    collaborator UNKNOWN

  • The University of Hong Kong

    lead OTHER

Principal Investigators

  • Jason Pui Yin Cheung, MD, MS · Queen Mary Hospital, Duchess of Kent Children's Hospital

Eligibility

Min Age
10 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-05-01
Primary Completion
2029-02-01
Completion
2030-02-01

Countries

  • Hong Kong

Study Locations

More Related Trials

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 NCT05146193 on ClinicalTrials.gov