AIMC Topic: Radiography

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A novel hybrid deep learning framework based on biplanar X-ray radiography images for bone density prediction and classification.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Jan 15, 2025
UNLABELLED: This study utilized deep learning for bone mineral density (BMD) prediction and classification using biplanar X-ray radiography (BPX) images from Huashan Hospital Medical Checkup Center. Results showed high accuracy and strong correlation...
Feasibility Studies Absorptiometry, Photon Deep Learning Radiography Radiographic Image Interpretation, Computer-Assisted Bone Density Lumbar Vertebrae Osteoporosis Tomography, X-Ray Computed Female Adult Male Middle Aged Aged Aged, 80 and over 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...
Female Male Deep Learning Adolescent Child Radiography Spine Scoliosis Humans Retrospective Studies
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Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study.

Acta orthopaedica Jan 9, 2025
BACKGROUND AND PURPOSE:  Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. The use of artificial intelligence (AI) in fracture detection has shown promise, but research ...
Fractures, Bone Radiography Finger Phalanges Metacarpal Bones Humans Neural Networks, Computer Retrospective Studies Sensitivity and Specificity
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An accelerated deep learning model can accurately identify clinically important humeral and scapular landmarks on plain radiographs obtained before and after anatomic arthroplasty.

International orthopaedics Jan 6, 2025
PURPOSE: Accurate identification of radiographic landmarks is fundamental to characterizing glenohumeral relationships before and sequentially after shoulder arthroplasty, but manual annotation of these radiographs is laborious. We report on the use ...
Radiography Anatomic Landmarks Shoulder Joint Humerus Humans Female Male Deep Learning Scapula Arthroplasty, Replacement, Shoulder
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs.

International dental journal Jan 5, 2025
OBJECTIVE: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models.
Skull Base Adolescent Development Mandible Predictive Learning Models Reproducibility of Results Radiography Puberty Random Allocation Male Cephalometry Regression Analysis Incisor Adolescent Predictive Value of Tests Humans Body Size Random Forest Child Retrospective Studies Maxilla Face
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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 Male Adolescent Child Radiography Scoliosis Neural Networks, Computer Artificial Intelligence Retrospective Studies Female
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Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease.

Annals of the rheumatic diseases Jan 2, 2025
OBJECTIVES: To facilitate the stratification of patients with osteoarthritis (OA) for new treatment development and clinical trial recruitment, we created an automated machine learning (autoML) tool predicting the rapid progression of knee OA over a ...
Humans Machine Learning Female Aged Adult Magnetic Resonance Imaging Male Radiography Middle Aged Osteoarthritis, Knee Disease Progression Age Factors
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

BMC musculoskeletal disorders Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Wrist Joint Male Wrist Fractures Fracture Fixation, Internal Aged Cluster Analysis Humans Middle Aged Range of Motion, Articular Aged, 80 and over Treatment Outcome Machine Learning Bone Plates Hand Strength Young Adult Follow-Up Studies Retrospective Studies Radius Fractures Radiography Adult Female Intra-Articular Fractures
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Automatic Pavlov ratio measurement method based on spinal landmarks identification by a deep-learning model.

Medical physics Dec 23, 2024
BACKGROUND: Cervical canal stenosis is one of the important pathogenic factors of cervical spondylosis. The accuracy of the Pavlov ratio measurement is crucial for the diagnosis and treatment of cervical spinal stenosis. Manual measurement is influen...
Anatomic Landmarks Cervical Vertebrae Automation Humans Deep Learning Image Processing, Computer-Assisted Radiography
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Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.

RMD open Dec 23, 2024
PURPOSE: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Humans Retrospective Studies Area Under Curve Radiography Middle Aged Sacroiliac Joint Female Disease Progression Sacroiliitis Adult Deep Learning Sensitivity and Specificity ROC Curve Male
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