AIMC Topic: Scoliosis

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Automated 3D Cobb Angle Measurement Using U-Net in CT Images of Preoperative Scoliosis Patients.

Journal of imaging informatics in medicine Aug 8, 2024
To propose a deep learning framework "SpineCurve-net" for automated measuring the 3D Cobb angles from computed tomography (CT) images of presurgical scoliosis patients. A total of 116 scoliosis patients were analyzed, divided into a training set of 8...
Tomography, X-Ray Computed Female Young Adult Adult Humans Male Scoliosis Imaging, Three-Dimensional Deep Learning Radiographic Image Interpretation, Computer-Assisted Adolescent
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The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review.

Biomedical engineering online Aug 8, 2024
Predicting curve progression during the initial visit is pivotal in the disease management of patients with adolescent idiopathic scoliosis (AIS)-identifying patients at high risk of progression is essential for timely and proactive interventions. Bo...
Humans Machine Learning Disease Progression Adolescent Scoliosis
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Comparison of three artificial intelligence algorithms for automatic cobb angle measurement using teaching data specific to three disease groups.

Scientific reports Aug 3, 2024
Spinal deformities, including adolescent idiopathic scoliosis (AIS) and adult spinal deformity (ASD), affect many patients. The measurement of the Cobb angle on coronal radiographs is essential for their diagnosis and treatment planning. To enhance t...
Scoliosis Child Radiography Spine Artificial Intelligence Humans Algorithms Male Female Adolescent Young Adult Adult
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Decoding pulsatile patterns of cerebrospinal fluid dynamics through enhancing interpretability in machine learning.

Scientific reports Aug 1, 2024
Analyses of complex behaviors of Cerebrospinal Fluid (CSF) have become increasingly important in diseases diagnosis. The changes of the phase-contrast magnetic resonance imaging (PC-MRI) signal formed by the velocity of flowing CSF are represented as...
Humans Machine Learning Algorithms Magnetic Resonance Imaging Cerebrospinal Fluid Female Scoliosis Male Pulsatile Flow Image Processing, Computer-Assisted
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Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations.

International journal of computer assisted radiology and surgery Jul 23, 2024
PURPOSE: Adolescent idiopathic scoliosis is a chronic disease that may require correction surgery. The finite element method (FEM) is a popular option to plan the outcome of surgery on a patient-based model. However, it requires considerable computin...
Humans Machine Learning Principal Component Analysis Spine Biomechanical Phenomena Scoliosis Algorithms Male Computer Simulation Adolescent Postoperative Period Female Imaging, Three-Dimensional Finite Element Analysis
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Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries.

Spine deformity Jul 22, 2024
PURPOSE: The purpose of this study is to develop and apply an algorithm that automatically classifies spine radiographs of pediatric scoliosis patients.
Spine Scoliosis Humans Adolescent Algorithms Female Child Radiography Male Registries Deep Learning
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Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression.

Sensors (Basel, Switzerland) Jul 12, 2024
Accurate prediction of scoliotic curve progression is crucial for guiding treatment decisions in adolescent idiopathic scoliosis (AIS). Traditional methods of assessing the likelihood of AIS progression are limited by variability and rely on static m...
Support Vector Machine Gait Scoliosis Gait Analysis Knee Deep Learning Adolescent Wearable Electronic Devices Child Humans Female Neural Networks, Computer Male Algorithms Disease Progression
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Validation of Artificial Intelligence in the Classification of Adolescent Idiopathic Scoliosis and the Compairment to Clinical Manual Handling.

Orthopaedic surgery Jul 3, 2024
OBJECTIVE: The accurate measurement of Cobb angles is crucial for the effective clinical management of patients with adolescent idiopathic scoliosis (AIS). The Lenke classification system plays a pivotal role in determining the appropriate fusion lev...
Scoliosis Child Thoracic Vertebrae Observer Variation Humans Male Adolescent Artificial Intelligence Female
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Using machine learning to automatically measure kyphotic and lordotic angle measurements on radiographs for children with adolescent idiopathic scoliosis.

Medical engineering & physics Jun 28, 2024
Measuring the kyphotic angle (KA) and lordotic angle (LA) on lateral radiographs is important to truly diagnose children with adolescent idiopathic scoliosis. However, it is a time-consuming process to measure the KA because the endplate of the upper...
Adolescent Child Image Processing, Computer-Assisted Radiography Machine Learning Female Male Lordosis Automation Kyphosis Scoliosis Humans Neural Networks, Computer
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An interpretable data-driven prediction model to anticipate scoliosis in spinal muscular atrophy in the era of (gene-) therapies.

Scientific reports May 23, 2024
5q-spinal muscular atrophy (SMA) is a neuromuscular disorder (NMD) that has become one of the first 5% treatable rare diseases. The efficacy of new SMA therapies is creating a dynamic SMA patient landscape, where disease progression and scoliosis dev...
Child, Preschool Male Genetic Therapy Disease Progression Child Muscular Atrophy, Spinal Adolescent Humans Scoliosis Machine Learning Female
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