Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution

This AI-driven 3D surface topography demonstrated high validity for non-radiographic Cobb angle prediction, particularly in mild-to-moderate AIS. It supports safer, more frequent, home-based monitoring, though refinements are needed for severe curves and patients with a higher BMI.

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Publication Details

Journal
Spine Deformity
Published
2026-01-30
DOI
https://doi.org/10.1007/s43390-026-01282-5
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution

Soraya Barchi, Marjolaine Roy-Beaudry
Spine Deformity
Scoliosis diagnosis and treatment
article

Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution

Soraya Barchi, Marjolaine Roy-Beaudry
article en

Abstract

This AI-driven 3D surface topography demonstrated high validity for non-radiographic Cobb angle prediction, particularly in mild-to-moderate AIS. It supports safer, more frequent, home-based monitoring, though refinements are needed for severe curves and patients with a higher BMI.

Spine Deformity
Université de Sherbrooke (CA), Centre Hospitalier Universitaire Sainte-Justine (CA), Université de Montréal (CA)
No poverty
Openalex Percentile: Top 73%
Scoliosis diagnosis and treatment
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