Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

Background Restoration of three-dimensional (3D) alignment is critical in correcting patients
with adolescent idiopathic scoliosis using posterior spinal fusion (PSF). However, current …

Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient's
initial visit is a challenging task. This work builds on our previous method and provides a …

Recent developments in machine learning (ML) methods demonstrate unparalleled
potential for application in the spine. The ability for ML to provide diagnostic faculty, produce …

Abstract Purpose Clinical prediction tools (CPTs) are decision-making instruments utilizing
patient data to predict specific clinical outcomes, risk-stratify patients, or suggest …

Purpose The study aims to assess if the angle of trunk rotation (ATR) in combination with
other readily measurable clinical parameters allows for effective non-invasive scoliosis …

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 …

The restoration of sagittal alignment is fundamental to the surgical correction of adolescent
idiopathic scoliosis (AIS). Despite established techniques, some patients present with …

Background Spinal deformities in adolescent idiopathic scoliosis (AIS) are measured on 2D
radiographs. Due to the 3D nature of the curve in AIS, such 2D measurements fail to …

Background Adolescent idiopathic scoliosis (AIS) surgery typically involves posterior spinal
fusion (PSF) using rods contoured by the surgeon, which may be time-consuming and may …