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...
Saved in:
| 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: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277252942500092X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Risk Factors Associated with Proximal Junctional Kyphosis Following Long Instrumented Fusion from L1 to Sacrum: Age Itself Does Not Independently Increase the Risk
by: Joonghyun Ahn, et al.
Published: (2024-09-01) -
An evidence based conceptual framework for the multifactorial understanding of proximal junctional kyphosis
by: Pearce B. Haldeman, et al.
Published: (2024-01-01) -
Does Vertebral Cement Augmentation Reduce Postoperative Proximal Junction Complications in Spinal Deformity Corrective Surgery: A Systematic Review and Meta-analysis
by: Dong Li, et al.
Published: (2025-03-01) -
Effect of pelvic compensation capacity on proximal junctional kyphosis: a stratified analysis of pelvic tilt in adult spinal deformity surgery
by: Yanjie Xu, et al.
Published: (2025-07-01) -
The association between locomotive function and incidence of proximal junctional kyphosis following adult spine deformity surgery
by: Ohsang Kwon, et al.
Published: (2024-11-01)