Harnessing machine learning to predict and prevent proximal junctional kyphosis and failure in adult spinal deformity surgery: A systematic review

Harnessing machine learning to predict and prevent proximal junctional kyphosis and failure in adult spinal deformity surgery: A systematic review

Introduction: Adult spinal deformity (ASD) surgery involves high costs and risks, with Proximal Junctional Kyphosis (PJK) and Proximal Junctional Failure (PJF) being major concerns. Artificial intelligence (AI) and machine learning (ML) offer potential in predicting and preventing these complication...

Full description

Saved in:
Bibliographic Details
Main Authors: Paolo Brigato, Gianluca Vadalà, Sergio De Salvatore, Leonardo Oggiano, Giuseppe Francesco Papalia, Fabrizio Russo, Rocco Papalia, Pier Francesco Costici, Vincenzo Denaro
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Brain and Spine
Subjects:
Proximal junctional kyphosis
Proximal junctional failure
Adult spinal deformity
ASD
Predictive modelling
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S277252942500092X
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S277252942500092X

Similar Items