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The development of a 3D intelligent automatic diagnosis model for scoliosis based on X-ray imaging.

The development of a 3D intelligent automatic diagnosis model for scoliosis based on X-ray imaging.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098641
Enrollment
Unknown
Registered
2025-03-11
Start date
2025-03-15
Completion date
Unknown
Last updated
2025-03-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Scoliosis

Interventions

Observation group:NA

Sponsors

Shanghai Sixth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
10 Years to 18 Years

Inclusion criteria

Inclusion criteria: 1 Be between 10 and 18 years old 2 Diagnosed with "scoliosis" or "abnormal posture" 3 Undergo posterior anterior and lateral X-rays of the standing whole spine

Exclusion criteria

Exclusion criteria: 1 Have any medical condition that may affect standing posture 2 History of spinal surgery 3 Back abnormalities other than AIS 4 Unequal length of lower limbs

Design outcomes

Primary

MeasureTime frame
Cobb angle;—

Countries

China

Contacts

Public ContactFan Jingjing

Shanghai Sixth People's Hospital

fanjingjing78@163.com+86 189 3017 4889

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026