AIMC Topic: Scoliosis

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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.
Humans Machine Learning Phenotype Scoliosis Retrospective Studies Spinal Curvatures Male Female Middle Aged Aged Cluster Analysis Adult Recovery of Function
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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...
Lordosis Thoracic Vertebrae Cervical Vertebrae Kyphosis Scoliosis Case-Control Studies Child, Preschool Child Humans Machine Learning Retrospective Studies Female Risk Factors Male
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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...
Scoliosis Child Radiography Spine Humans Retrospective Studies Female 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....
Humans Neural Networks, Computer Artificial Intelligence Child Radiography Scoliosis Retrospective Studies Female Male Adolescent
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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.
Humans Radiographic Image Interpretation, Computer-Assisted Scoliosis Adult Male Middle Aged Deep Learning Reproducibility of Results Adolescent Aged Child, Preschool Algorithms Aged, 80 and over Child Young Adult Retrospective Studies Female
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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 Female Humans Reproducibility of Results Artificial Intelligence Male Retrospective Studies 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 Humans Follow-Up Studies Cluster Analysis Scoliosis Minimal Clinically Important Difference Adult Male Middle Aged Treatment Outcome
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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 Humans Adolescent Neural Networks, Computer Scoliosis 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....
Radiography Scoliosis Machine Learning Reproducibility of Results Algorithms Humans Male Female Child, Preschool Child
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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.
Machine Learning Algorithms Female Reproducibility of Results Child Humans Male Ultrasonography Pilot Projects Image Processing, Computer-Assisted Child, Preschool Scoliosis
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