A fresh look at spinal alignment and deformities: automated analysis of a large database...

TB Grivas, D Dadakaridou, SA Fokidi… - Journal of Clinical …, 2024 - mdpi.com

Study design: Creating and psychometric testing of a new QoL Questionnaire about
Physiotherapeutic Specific Exercises of Scoliosis (Questionnaire of Physiotherapeutic …

3D Shape Analysis of Scoliosis

E Bourigault, A Jamaludin, E Clark, J Fairbank… - … Workshop on Shape in …, 2023 - Springer

Scoliosis is typically measured in 2D in the coronal plane, although it is a three-dimensional
(3D) condition. Our objective in this work is to analyse the 3D geometry of the spine and its …

Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model

T Bassani, A Cina, F Galbusera, LM Sconfienza… - Frontiers in …, 2023 - frontiersin.org

Introduction A novel classification scheme for endplate lesions, based on T2-weighted
images from magnetic resonance imaging (MRI) scan, has been recently introduced and …

The Optimal Patient Position on the Surgical Table for Lateral Lumbar Interbody Fusion in Adult Spinal Deformity Using Three-Dimensional Computed Tomography: A …

Y Ogata, T Kotani, T Sunami, S Okuwaki… - Spine Surgery and …, 2024 - jstage.jst.go.jp

Introduction: Lateral lumbar interbody fusion (LLIF) techniques have been extensively used
in adult spinal deformity surgery. Preoperative knowledge of the optimal position of the …

Advancing spine care through AI and machine learning: overview and applications

A Cina, F Galbusera - EFORT Open Reviews, 2024 - eor.bioscientifica.com

Machine learning (ML), a subset of artificial intelligence, is crucial for spine care and
research due to its ability to improve treatment selection and outcomes, leveraging the vast …