Novel Machine Learning Study Aims to Predict Scoliosis Progression in Adolescents — Reducing Radiation Exposure and Overtreatment

References

1. 1.Istanbul University. (2024). Machine Learning-Based Prediction of Disease Progression in Adolescent Idiopathic Scoliosis Following Core Stabilization Exercise. ClinicalTrials.gov. NCT07556042. https://clinicaltrials.gov/study/NCT07556042
2. 2.Weinstein, S. L., Dolan, L. A., Wright, J. G., & Dobbs, M. B. (2013). Effects of bracing in adolescents with idiopathic scoliosis. New England Journal of Medicine, 369(16), 1512-1521. https://doi.org/10.1056/NEJMoa1307337
3. 3.Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022). AI in health and medicine. Nature Medicine, 28(1), 31-38. https://doi.org/10.1038/s41591-021-01614-0
4. 4.Negrini, S., Donzelli, S., Aulisa, A. G., Czaprowski, D., Schreiber, S., de Mauroy, J. C., ... & Zaina, F. (2018). 2016 SOSORT guidelines: orthopaedic and rehabilitation treatment of idiopathic scoliosis during growth. Scoliosis and Spinal Disorders, 13(1), 3. https://doi.org/10.1186/s13013-017-0145-8
5. 5.Kaelin, A. J. (2020). Adolescent idiopathic scoliosis: indications for bracing and conservative treatments. Annals of Translational Medicine, 8(2), 28. https://doi.org/10.21037/atm.2020.03.48