AIMC Topic: 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...
Spine Scoliosis Adolescent Child Radiography Humans Female Artificial Intelligence Young Adult Algorithms Adult Male
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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 Magnetic Resonance Imaging Algorithms 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...
Postoperative Period Finite Element Analysis Biomechanical Phenomena Male Adolescent Imaging, Three-Dimensional Principal Component Analysis Machine Learning Spine Algorithms Scoliosis Computer Simulation Female Humans
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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.
Algorithms Female Male Deep Learning Humans Spine Scoliosis Adolescent Child Radiography Registries
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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...
Gait Analysis Knee Disease Progression Deep Learning Adolescent Wearable Electronic Devices Child Support Vector Machine Gait Neural Networks, Computer Scoliosis Algorithms Female Humans Male
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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...
Humans Artificial Intelligence Female Child Male Adolescent Thoracic Vertebrae Observer Variation Scoliosis
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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...
Male Adolescent Child Image Processing, Computer-Assisted Radiography Automation Kyphosis Humans Neural Networks, Computer Machine Learning Female Scoliosis Lordosis
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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 Scoliosis Genetic Therapy Muscular Atrophy, Spinal Disease Progression Humans Adolescent Machine Learning Child, Preschool Female Male
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Utilizing a comprehensive machine learning approach to identify patients at high risk for extended length of stay following spinal deformity surgery in pediatric patients with early onset scoliosis.

Spine deformity May 3, 2024
PURPOSE: Early onset scoliosis (EOS) patient diversity makes outcome prediction challenging. Machine learning offers an innovative approach to analyze patient data and predict results, including LOS in pediatric spinal deformity surgery.
Child Age of Onset Scoliosis Male Risk Assessment Humans Length of Stay Machine Learning Child, Preschool Female Risk Factors
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Correlative Assessment of Machine Learning-Based Cobb Angle Measurements and Human-Based Measurements in Adolescent Idiopathic and Congenital Scoliosis.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Mar 27, 2024
Scoliosis is a complex spine deformity with direct functional and cosmetic impacts on the individual. The reference standard for assessing scoliosis severity is the Cobb angle which is measured on radiographs by human specialists, carrying interobse...
Radiography Spine Scoliosis Female Male Humans Adolescent Child Machine Learning Retrospective Studies
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