Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability.

This framework incorporates information on distal instrumentation selection, lumbar curve morphology, and skeletal maturity.

The model may provide a preliminary basis for future preoperative coronal imbalance risk estimation and support a more informed assessment of the trade-off between deformity correction and preservation of lumbar motion segments.

Independent external validation is required before the model can be used to guide surgical decision-making.