Study Design: Narrative review. Objectives: This review aims to present current applications
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …

OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …

Objective This study aimed to create an ideal machine learning model to predict mechanical
complications in adult spinal deformity (ASD) surgery based on GAPB (modified global …

Outcomes for adult spinal deformity continue to improve as new technologies become
integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patient …

Study Design Retrospective study. Objectives Our objective is to create comprehensible
machine learning (ML) models that can forecast bone cement leakage in percutaneous …

To achieve meaningful, patient-centered outcomes following adult spinal deformity (ASD)
surgery, it is crucial to engage in precise preoperative planning, perform excellent …

In recent years, applications using artificial intelligence have been gaining importance in the
diagnosis and treatment of spinal diseases. In our review, we describe the basic features of …

Proximal junctional kyphosis (PJK) is one main complication in the surgical treatment of
adult spinal deformities. Ending within the thoracolumbar junction (TLJ) should but cannot …

Artificial intelligence (AI) refers to computer-based technologies that seek to replicate human
intelligence by allowing software to make decisions and provide recommendations based …

Adult spinal deformity (ASD) poses significant challenges in spinal surgery, requiring
precise planning and execution for successful correction. Additionally, optimization of …