AIMC Topic: Scoliosis

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Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.

European radiology experimental Jan 29, 2025
BACKGROUND: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores ...
Feasibility Studies Scoliosis Adolescent Child Radiography Humans Female Male Deep Learning
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

Scientific reports Jan 27, 2025
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customiz...
Humans Neural Networks, Computer Adolescent Child Treatment Outcome Decision Making Clinical Decision-Making Female Male Deep Learning Spinal Fusion Scoliosis
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Automatic skeletal maturity grading from pelvis radiographs by deep learning for adolescent idiopathic scoliosis.

Medical & biological engineering & computing Jan 22, 2025
Adolescent idiopathic scoliosis (AIS) is a three-dimensional spine deformity governed of the spine. A child's Risser stage of skeletal maturity must be carefully considered for AIS evaluation and treatment. However, there are intra-observer and inter...
Humans Female Male Radiography Pelvis Scoliosis Age Determination by Skeleton Deep Learning Adolescent Child Image Processing, Computer-Assisted
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Machine Learning-based Cluster Analysis Identifies Three Unique Phenotypes of Patients With Adult Spinal Deformity With Distinct Clinical Profiles and Long-term Recovery Trajectory: A Development Study.

Spine Jan 21, 2025
STUDY DESIGN: A retrospective review of a prospective adult spinal deformity data.
Aged Adult Male Middle Aged Cluster Analysis Recovery of Function Scoliosis Spinal Curvatures Machine Learning Phenotype Humans Retrospective Studies Female
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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...
Child, Preschool Child Thoracic Vertebrae Cervical Vertebrae Kyphosis Scoliosis Lordosis Female Risk Factors Male Case-Control Studies Humans Machine Learning Retrospective Studies
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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...
Spine Scoliosis Deep Learning Adolescent Child Radiography Retrospective Studies Female Male Humans
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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....
Scoliosis Adolescent Child Radiography Artificial Intelligence Retrospective Studies Female Male Humans Neural Networks, Computer
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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.
Radiographic Image Interpretation, Computer-Assisted Scoliosis Young Adult Adult Male Female Middle Aged Reproducibility of Results Deep Learning Humans Aged Adolescent Aged, 80 and over Child, Preschool Algorithms Child Retrospective Studies
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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. ...
Child Mobile Applications Scoliosis Humans Female Artificial Intelligence Reproducibility of Results Retrospective Studies Male Adolescent
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Comparison of Patients With and Without Predicted Surgical Indication Between Clusters of Adult Spine Deformity (ASD) Patients.

Spine Oct 1, 2024
STUDY DESIGN: Multicentric, retrospective analysis of prospectively collected data.
Machine Learning Retrospective Studies Female Aged Follow-Up Studies Cluster Analysis Scoliosis Minimal Clinically Important Difference Adult Male Middle Aged Treatment Outcome Humans
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