AIMC Topic: Spine

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Automated Scoliosis Cobb Angle Classification in Biplanar Radiograph Imaging With Explainable Machine Learning Models.

Spine Feb 25, 2025
STUDY DESIGN: Retrospective cohort study.
Adolescent Cohort Studies Child Scoliosis Radiography Spine Retrospective Studies Female Male Humans Machine Learning
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Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 30, 2025
Adolescent Idiopathic Scoliosis (AIS) is a prevalent structural deformity disease of human spine, and accurate assessment of spinal anatomical parameters is essential for clinical diagnosis and treatment planning. In recent years, significant progres...
Algorithms Deep Learning Humans Adolescent Anatomic Landmarks Radiographic Image Interpretation, Computer-Assisted Spine Scoliosis
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Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.

Journal of magnetic resonance imaging : JMRI Jan 27, 2025
BACKGROUND: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
Reproducibility of Results Aged Adult Male Artificial Intelligence Retrospective Studies Female Magnetic Resonance Imaging Spine Image Interpretation, Computer-Assisted Spinal Neoplasms Middle Aged Deep Learning ROC Curve Humans
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Automated spinopelvic measurements on radiographs with artificial intelligence: a multi-reader study.

La Radiologia medica Jan 26, 2025
PURPOSE: To develop an artificial intelligence (AI) algorithm for automated measurements of spinopelvic parameters on lateral radiographs and compare its performance to multiple experienced radiologists and surgeons.
Radiographic Image Interpretation, Computer-Assisted Spine Observer Variation Male Middle Aged Radiography Neural Networks, Computer Artificial Intelligence Algorithms Aged Adult 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...
Radiography Spine Scoliosis Humans Retrospective Studies Female Adolescent Child Male Deep Learning
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The use of machine learning for the prediction of response to follow-up in spine registries.

International journal of medical informatics Jan 3, 2025
BACKGROUND: One of the main challenges in the maintenance of registries is to keep a high follow-up rate and a reliable strategy to limit dropout is currently lacking. Aim of this study was to utilize machine learning (ML) models to highlight the cha...
Humans Machine Learning Female Middle Aged Follow-Up Studies Registries Spine Aged Adult Male Cost-Benefit Analysis
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3D MFA: An automated 3D Multi-Feature Attention based approach for spine segmentation using a multi-stage network pruning.

Computers in biology and medicine Dec 20, 2024
Spine segmentation poses significant challenges due to the complex anatomical structure of the spine and the variability in imaging modalities, which often results in unclear boundaries and overlaps with surrounding tissues. In this research, a novel...
Neural Networks, Computer Algorithms Imaging, Three-Dimensional Spine Humans
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Spine X-ray image segmentation based on deep learning and marker controlled watershed.

Journal of X-ray science and technology Dec 19, 2024
BACKGROUND: The development of automatic methods for vertebral segmentation provides the objective analysis of each vertebra in the spine image, which is important for the diagnosis of various spinal diseases. However, vertebrae have inter-class simi...
Radiography Spine Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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Automatic 3-D Lamina Curve Extraction From Freehand 3-D Ultrasound Data Using Sequential Localization Recurrent Convolutional Networks.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to its noninvasiveness and affordability. The laminae landmarks play a critical role in depicting the 3-D shape of the spine. However, the extraction of t...
Young Adult Adult Male Humans Algorithms Female Thoracic Vertebrae Spine Lumbar Vertebrae Deep Learning Ultrasonography Imaging, Three-Dimensional
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Accelerated Spine MRI with Deep Learning Based Image Reconstruction: A Prospective Comparison with Standard MRI.

Academic radiology Nov 22, 2024
RATIONALE AND OBJECTIVES: To evaluate the performance of deep learning (DL) reconstructed MRI in terms of image acquisition time, overall image quality and diagnostic interchangeability compared to standard-of-care (SOC) MRI.
Middle Aged Aged Deep Learning Adult Magnetic Resonance Imaging Male Signal-To-Noise Ratio Humans Spinal Diseases Prospective Studies Spine Female Image Interpretation, Computer-Assisted
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