Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution.
- DOI
- 10.1007/s43390-026-01282-5
- Published
- 2026 May
- Container
- Spine deformity
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s43390-026-01282-5,
title = {Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution.},
author = {Parent S and Roy-Beaudry M and Dufresne J and Imbeault R and Barchi S and Beauséjour M},
year = {2026},
journal = {Spine deformity},
doi = {10.1007/s43390-026-01282-5},
url = {https://doi.org/10.1007/s43390-026-01282-5}
}RIS
TY - JOUR TI - Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution. AU - Parent S AU - Roy-Beaudry M AU - Dufresne J AU - Imbeault R AU - Barchi S AU - Beauséjour M PY - 2026 JO - Spine deformity DO - 10.1007/s43390-026-01282-5 UR - https://doi.org/10.1007/s43390-026-01282-5 ER -
APA
S, P., M, R., J, D., R, I., S, B., & M, B. (2026). Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution.. Spine deformity. https://doi.org/10.1007/s43390-026-01282-5
Source records
- pubmed · retrieved 2026-09-26T19:31:05.316Z