Machine Learning Predicts the 3D Outcomes of Adolescent Idiopathic Scoliosis Surgery Using Patient-Surgeon Specific Parameters.

Journal: Spine

Published Date: May 1, 2021

Abstract

STUDY DESIGN: Retrospective descriptive, multicenter study.

Authors

Saba Pasha

Department of Orthopedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Suken Shah

Department of Orthopedic Surgery, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE.
Peter Newton

Department of Orthopedic Surgery, Rady Children's Hospital, San Diego, CA.

Keywords

Adolescent Cohort Studies Female Humans Imaging, Three-Dimensional Machine Learning Male Patient Satisfaction Prognosis Retrospective Studies Scoliosis Spinal Fusion Surgeons Thoracic Vertebrae Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (33821816)

Popular Topics

Recent Journals