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.
Authors
- Soraya Barchi
- Marjolaine Roy-Beaudry
Institutions
- Université de Sherbrooke (CA)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- Université de Montréal (CA)
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