A deep learning model for radiological measurement of adolescent idiopathic scoliosis using biplanar radiographs
This deep learning model can accurately and automatically measure spinal alignment parameters with reliable results, significantly reducing diagnostic time, and might provide the potential to assist clinicians.
Authors
- Jinghui Huang (ORCID: https://orcid.org/0000-0002-0991-0591)
- Jincong Lin (ORCID: https://orcid.org/0000-0002-2895-6122)
- Wei Lei (ORCID: https://orcid.org/0000-0002-7346-6915)
- Yi Li (ORCID: https://orcid.org/0000-0003-3945-3990)
- Suping Zhu
- Yabo Yan (ORCID: https://orcid.org/0000-0001-7307-0112)
- Kunjie Xie
Institutions
- Xidian University (CN)
- Xijing Hospital (CN)
Publication Details
- Journal
- Journal of Orthopaedic Surgery and Research
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1186/s13018-025-05620-7
- Citations
- 4
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.03