Using artificial intelligence to predict health-related quality of life for adolescent idiopathic scoliosis.

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Bibliographic Details
Title: Using artificial intelligence to predict health-related quality of life for adolescent idiopathic scoliosis.
Authors: Kovacevic D; Temerty Faculty of Medicine, University of Toronto, Toronto, Canada., Abbas A; Division of Orthopaedic Surgery, University of Toronto, Toronto, Canada. aazad.abbas@mail.utoronto.ca., Sahi G; Temerty Faculty of Medicine, University of Toronto, Toronto, Canada., Lex JR; Division of Orthopaedic Surgery, University of Toronto, Toronto, Canada., Samdani AF; Shriners Hospitals for Children, Philadelphia, USA., Shah SA; Department of Orthopedic Surgery, Alfred I. duPont Hospital for Children, Wilmington, USA., Clements D; Shriners Hospitals for Children, Philadelphia, USA., Newton PO; Division of Orthopedics & Scoliosis, Rady Children's Hospital, San Diego, USA., Kelly MP; Division of Orthopedics & Scoliosis, Rady Children's Hospital, San Diego, USA., Toor J; Department of Orthopaedic Surgery, University of Manitoba, Winnipeg, Canada., Miyanji F; Department of Orthopaedics, University of British Columbia, Vancouver, Canada.
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 Jul 22. Date of Electronic Publication: 2026 Jul 22.
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/s00586-026-10173-2