AIMC Topic: Scoliosis

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Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net.

Medical image analysis May 18, 2018
Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluation and treatment planning of Adolescent Idiopathic Scoliosis (AIS). It solves the widely accepted disadvantage of manual Cobb angle measurement (time-c...
Adolescent Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Scoliosis Female Algorithms Reproducibility of Results Male
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Predicting Complete Ground Reaction Forces and Moments During Gait With Insole Plantar Pressure Information Using a Wavelet Neural Network.

Journal of biomechanical engineering Jul 1, 2015
In general, three-dimensional ground reaction forces (GRFs) and ground reaction moments (GRMs) that occur during human gait are measured using a force plate, which are expensive and have spatial limitations. Therefore, we proposed a prediction model ...
Humans Mechanical Phenomena Male Neural Networks, Computer Scoliosis Female Pressure Young Adult Wavelet Analysis Adolescent Biomechanical Phenomena Foot Principal Component Analysis Gait
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Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis.

IEEE transactions on bio-medical engineering Dec 4, 2014
Brace treatment is the most commonly used nonsurgical treatment for adolescents with idiopathic scoliosis. However, brace treatment is not always successful and the factors influencing its success are not completely clear. This makes treatment outcom...
Scoliosis Humans Adolescent Orthotic Devices Female Child Male Decision Support Systems, Clinical Treatment Outcome Fuzzy Logic Radiography Models, Biological
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Integrating Artificial Intelligence into Mixed Reality for Back Detection and Virtual 3D Spine Visualization on Scoliosis Patients.

Studies in health technology and informatics Aug 7, 2025
Adolescent Idiopathic Scoliosis is a complex three-dimensional spinal deformity that typically develops between the ages of 10 and 18 years. If untreated, this condition can significantly impair a patient's quality of life and functional capabilities...
Humans Spine Augmented Reality Scoliosis Artificial Intelligence Back Adolescent Virtual Reality Imaging, Three-Dimensional
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Automated Measurements of Spinal Parameters for Scoliosis Using Deep Learning.

Spine Jun 15, 2025
STUDY DESIGN: Retrospective single-institution study.
Humans Neural Networks, Computer Retrospective Studies Adult Male Middle Aged Deep Learning Female Reproducibility of Results Aged Young Adult Adolescent Spine Child Scoliosis Radiography
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Early outcomes with virtual surgical planning software and patient-specific instrumentation in adult spinal deformity.

Neurosurgical focus Jun 1, 2025
OBJECTIVE: Software engineering innovations have led to the development of virtual surgical planning software (VSPS) for deformity correction. VSPS uses calibrated radiographs and machine learning predictive models to simulate postoperative spinopelv...
Surgery, Computer-Assisted Scoliosis Lordosis Treatment Outcome Spinal Fusion Lumbar Vertebrae Retrospective Studies Female Adult Aged Male Middle Aged Thoracic Vertebrae Humans Software
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Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort.

Neurosurgical focus Jun 1, 2025
OBJECTIVE: SpinePose was developed in 2024 as a novel artificial intelligence (AI) tool to automatically predict spinopelvic parameters with high accuracy and without the need for manual entry. The authors' published results demonstrated excellent pe...
Male Adolescent Cohort Studies Radiography Humans Pelvis Artificial Intelligence Spine Female Scoliosis Adult
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Ensemble learning of deep CNN models and two stage level prediction of Cobb angle on surface topography in adolescents with idiopathic scoliosis.

Medical engineering & physics Jun 1, 2025
This study employs Convolutional Neural Networks (CNNs) as feature extractors with appended regression layers for the non-invasive prediction of Cobb Angle (CA) from Surface Topography (ST) scans in adolescents with Idiopathic Scoliosis (AIS). The ai...
Surface Properties Scoliosis Ensemble Learning Deep Learning Convolutional Neural Networks Adolescent Image Processing, Computer-Assisted Neural Networks, Computer Female Male Humans
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ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: Considering the radiation hazard of X-ray, safer, more convenient and cost-effective ultrasound methods are gradually becoming new diagnostic approaches for scoliosis. For ultrasound images of spine regions, it is challenging to accurately...
Scoliosis Image Processing, Computer-Assisted Spine Semantics Humans Neural Networks, Computer Algorithms Ultrasonography
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Three-dimensional automated segmentation of adolescent idiopathic scoliosis on computed tomography driven by deep learning: A retrospective study.

Medicine May 30, 2025
Accurate vertebrae segmentation is crucial for modern surgical technologies, and deep learning networks provide valuable tools for this task. This study explores the application of advanced deep learning-based methods for segmenting vertebrae in comp...
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Male Deep Learning Adolescent Humans Child Imaging, Three-Dimensional Scoliosis
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