AIMC Topic: Radiography

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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.
Spine Scoliosis Cohort Studies Child Radiography Humans Machine Learning Retrospective Studies Female Male Adolescent
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Deep learning based screening model for hip diseases on plain radiographs.

PloS one Feb 13, 2025
INTRODUCTION: The interpretation of plain hip radiographs can vary widely among physicians. This study aimed to develop and validate a deep learning-based screening model for distinguishing normal hips from severe hip diseases on plain radiographs.
Deep Learning Aged Hip ROC Curve Radiography Adult Humans Hip Joint Male Algorithms Middle Aged Female
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Generating synthetic past and future states of Knee Osteoarthritis radiographs using Cycle-Consistent Generative Adversarial Neural Networks.

Computers in biology and medicine Feb 9, 2025
Knee Osteoarthritis (KOA), a leading cause of disability worldwide, is challenging to detect early due to subtle radiographic indicators. Diverse, extensive datasets are needed but are challenging to compile because of privacy, data collection limita...
Algorithms Female Male Radiography Knee Joint Osteoarthritis, Knee Humans Neural Networks, Computer
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Deep learning opportunistic screening for osteoporosis and osteopenia using radiographs of the foot or ankle - A pilot study.

European journal of radiology Feb 4, 2025
BACKGROUND: The gold standard method for diagnosing low bone mineral density (BMD) is using dual-energy X-ray absorptiometry (DXA) however, most patients with low BMD are often not screened. We aimed to create a deep learning (DL) model to screen for...
Aged Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Deep Learning Pilot Projects Mass Screening Bone Density Retrospective Studies Osteoporosis Female Humans Foot Ankle Radiography Bone Diseases, Metabolic Absorptiometry, Photon
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Deep learning for automated hip fracture detection and classification : achieving superior accuracy.

The bone & joint journal Feb 1, 2025
AIMS: The aim of this study was to develop and evaluate a deep learning-based model for classification of hip fractures to enhance diagnostic accuracy.
Radiography Hip Fractures Aged, 80 and over Sensitivity and Specificity Male Retrospective Studies Humans Deep Learning Female Neural Networks, Computer Aged
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Automated measurement of pelvic parameters using convolutional neural network in complex spinal deformities: overcoming challenges in coronal deformity cases.

The spine journal : official journal of the North American Spine Society Jan 31, 2025
BACKGROUND CONTEXT: Accurate and consistent measurement of sagittal alignment is challenging, particularly in patients with severe coronal deformities, including degenerative lumbar scoliosis (DLS).
Humans Neural Networks, Computer Male Middle Aged Convolutional Neural Networks Pelvic Bones Retrospective Studies Female Aged Adult Scoliosis Lordosis Spinal Curvatures Radiography Pelvis Lumbar Vertebrae
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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 ...
Radiography Feasibility Studies Scoliosis Humans Deep Learning Female Adolescent Male Child
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A Deep Learning Tool for Minimum Joint Space Width Calculation on Antero-posterior Knee Radiographs.

The Journal of arthroplasty Jan 27, 2025
BACKGROUND: Minimum joint space width (mJSW) is an important continuous quantitative metric of osteoarthritis progression in the knee. The purpose of this study was to develop an automated measurement algorithm for mJSW in the medial and lateral comp...
Knee Joint Arthroplasty, Replacement, Knee Osteoarthritis, Knee Algorithms Female Aged Male Humans Middle Aged Disease Progression Deep Learning Radiography
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Development of a Deep Learning Model for Automating Implant Position in Total Hip Arthroplasty.

The Journal of arthroplasty Jan 27, 2025
BACKGROUND: Novel methods for annotating antero-posterior pelvis radiographs and fluoroscopic images with deep-learning models have recently been developed. However, their clinical use has been limited. Therefore, the purpose of this study was to dev...
Algorithms Female Aged Male Humans Fluoroscopy Hip Joint Arthroplasty, Replacement, Hip Hip Prosthesis Middle Aged Deep Learning Radiography Anatomic Landmarks
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis.

Scientific reports Jan 27, 2025
The Sharp-van der Heijde score (SvH) is crucial for assessing joint damage in rheumatoid arthritis (RA) through radiographic images. However, manual scoring is time-consuming and subject to variability. This study proposes a multistage deep learning ...
Radiography Humans Radiographic Image Interpretation, Computer-Assisted Middle Aged Deep Learning Female Image Processing, Computer-Assisted Aged Arthritis, Rheumatoid Adult Male
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