Use of machine learning predictive models in sagittal alignment planning in adolescent idiopathic scoliosis surgery.

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Bibliographic Details
Title: Use of machine learning predictive models in sagittal alignment planning in adolescent idiopathic scoliosis surgery.
Authors: Ngo J; Community Memorial Health, Ventura, California, USA., Athreya K; Children's Hospital of Orange County, Orange, USA., Ehrlich B; Children's Hospital of Orange County, Orange, USA., Sayrs L; Children's Hospital of Orange County, Orange, USA., Morphew T; Children's Hospital of Orange County, Orange, USA., Halvorson S; Children's Hospital of Orange County, Orange, USA., Aminian A; Children's Hospital of Orange County, Orange, USA. aaminian@choc.org.
Source: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Jan; Vol. 35 (1), pp. 23-31. Date of Electronic Publication: 2025 Oct 15.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-0932
DOI:10.1007/s00586-025-09420-9