Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study
Exercise-based therapy, combined with ML and AL techniques, appears to be a clinically effective and economically sustainable intervention for AIS management. ML models identified important predictors overlooked by classical methods, particularly highlighting the importance of treatment duration. These findings may inform evidence-based strategies for integrating personalized, data-driven approaches into conservative scoliosis treatment protocols and optimizing musculoskeletal healthcare resource allocation.
Authors
- Merve Uca
- Erdal Ayvaz (ORCID: https://orcid.org/0000-0002-4630-278X)
- Ednan Ayvaz (ORCID: https://orcid.org/0000-0002-5328-1884)
- Zafer Yıldız (ORCID: https://orcid.org/0000-0002-9136-5034)
Institutions
- Sivas Cumhuriyet Üniversitesi (TR)
- Sağlık Bilimleri Üniversitesi (TR)
- Kocaeli Üniversitesi (TR)
Publication Details
- Journal
- Journal of Orthopaedic Surgery and Research
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1186/s13018-025-05900-2
- Citations
- 2
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.01