AI system for analyzing spinal deformities
Official title: AI-Powered Scoliosis Auto-Analysis System Multicenter Development and Validations
Run by The University of Hong Kong · NCT05146193 · Data updated 2026-11-12
This study is testing a new AI system that helps doctors better diagnose and understand spinal deformities by analyzing patient images.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 10 Years to 80 Years |
| Sex | All |
| Enrollment | 2500 (estimated) |
| Sponsor | The University of Hong Kong Academic / other |
| Locations | 1 site (Hong Kong) |
| Status | Recruiting |
| Started | May 1, 2022 |
| Main results expected | February 1, 2029 |
| Study ends | February 1, 2030 |
| Registry record updated | May 1, 2026 |
| Trial ID | NCT05146193 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults with idiopathic scoliosis or other spinal deformities such as spondylolisthesis and kyphosis.
✕Probably not a fit
Patients who have undergone spinal surgery or refuse imaging will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to develop and validate an AI-powered system called AlignProCARE to assist clinicians in diagnosing and assessing spinal deformities. The approach involves collecting radiographs and nude back images from patients with various spinal conditions across multiple centers in Malaysia, China, and Japan. By automating the landmark placement process, the system seeks to reduce variability and improve the accuracy of spine alignment assessments. The study will also involve follow-up imaging to refine the AI model further.
Why it matters
Potential benefit: If successful, this AI system could lead to faster and more accurate diagnoses of spinal deformities, improving treatment planning for patients.
How similar studies have gone: Other studies have shown promise in using AI for medical imaging analysis, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Idiopathic scoliosis, adult deformity (spondylolisthesis, idiopathic kyphosis, kyphoscoliosis, lordoscoliosis) Exclusion Criteria: * Refusal for imaging, postoperative patients
Where it's running
-
Duchess of Kent Children's Hospital
Hong Kong, Hong Kong Recruiting
Study contacts
- Principal investigator: Jason Pui Yin Cheung, MD, MS — Queen Mary Hospital, Duchess of Kent Children's Hospital
- Study coordinator: Jason Pui Yin Cheung, MD, MS
- Email: cheungjp@hku.hk
- Phone: (852) 22554254
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.