AIMC Topic: Scoliosis

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Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study.

Scientific reports Jan 15, 2025
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in early-onset scoliosis (EOS) and identify the risk factors of sagittal cervical imbalance after growing-rod surgery of machine learning. EOS patients fro...
Kyphosis Scoliosis Lordosis Risk Factors Male Case-Control Studies Thoracic Vertebrae Cervical Vertebrae Child, Preschool Child Machine Learning Retrospective Studies Female Humans
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Development of a model for measuring sagittal plane parameters in 10-18-year old adolescents with idiopathic scoliosis based on RTMpose deep learning technology.

Journal of orthopaedic surgery and research Jan 11, 2025
PURPOSE: The study aimed to develop a deep learning model for rapid, automated measurement of full-spine X-rays in adolescents with Adolescent Idiopathic Scoliosis (AIS). A significant challenge in this field is the time-consuming nature of manual me...
Humans Retrospective Studies Female Child Radiography Spine Scoliosis Male Deep Learning Adolescent
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Intelligent measurement of adolescent idiopathic scoliosis x-ray coronal imaging parameters based on VB-Net neural network: a retrospective analysis of 2092 cases.

Journal of orthopaedic surgery and research Jan 3, 2025
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a complex three-dimensional deformity, and up to now, there has been no literature reporting the analysis of a large sample of X-ray imaging parameters based on artificial intelligence (AI) for it....
Adolescent Child Retrospective Studies Radiography Female Humans Scoliosis Male Neural Networks, Computer Artificial Intelligence
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Deep learning algorithm enables automated Cobb angle measurements with high accuracy.

Skeletal radiology Dec 17, 2024
OBJECTIVE: To determine the accuracy of automatic Cobb angle measurements by deep learning (DL) on full spine radiographs.
Aged, 80 and over Young Adult Adult Male Female Reproducibility of Results Aged Algorithms Child, Preschool Retrospective Studies Child Radiographic Image Interpretation, Computer-Assisted Middle Aged Humans Scoliosis Deep Learning Adolescent
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Use of Artificial Intelligence in Cobb Angle Measurement for Scoliosis: Retrospective Reliability and Accuracy Study of a Mobile App.

Journal of medical Internet research Nov 1, 2024
BACKGROUND: Scoliosis is a spinal deformity in which one or more spinal segments bend to the side or show vertebral rotation. Some artificial intelligence (AI) apps have already been developed for measuring the Cobb angle in patients with scoliosis. ...
Mobile Applications Scoliosis Artificial Intelligence Retrospective Studies Female Adolescent Reproducibility of Results Humans Child Male
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Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence.

Spine deformity Aug 17, 2024
PURPOSE: Adolescent idiopathic scoliosis (AIS) is a common spinal deformity with varying progression, complicating treatment decisions. Artificial intelligence (AI) and machine learning (ML) are increasingly prominent in orthopedic care, aiding in di...
Machine Learning Adolescent Humans Scoliosis Neural Networks, Computer Artificial Intelligence
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Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.

Medical & biological engineering & computing Aug 16, 2024
The magnetically controlled growing rod technique is an effective surgical treatment for children who have early-onset scoliosis. The length of the instrumented growing rods is adjusted regularly to compensate for the normal growth of these patients....
Child Radiography Humans Scoliosis Machine Learning Female Male Algorithms Reproducibility of Results Child, Preschool
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Automated Method for Growing Rod Length Measurement on Ultrasound Images in Children With Early Onset Scoliosis.

Ultrasound in medicine & biology Aug 10, 2024
OBJECTIVE: To develop and validate machine learning algorithms to automatically extract the rod length of the magnetically controlled growing rod from ultrasound images (US) in a pilot study.
Image Processing, Computer-Assisted Scoliosis Humans Machine Learning Algorithms Female Child Reproducibility of Results Male Ultrasonography Pilot Projects Child, Preschool
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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...
Humans Tomography, X-Ray Computed Adult Male Female Young Adult Radiographic Image Interpretation, Computer-Assisted Deep Learning Scoliosis Adolescent Imaging, Three-Dimensional
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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...
Scoliosis Machine Learning Disease Progression Adolescent Humans
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