Prediction of adolescent idiopathic scoliosis with machine learning algorithms using brain volumetric measurements.

The outcomes of this study indicate that volumetric measurements of specific brain regions can serve as reliable indicators of AIS. In conclusion, the developed model and the significant variables discovered hold promise for predicting scoliosis development, particularly in high-risk individuals.