AIMC Topic: Absorptiometry, Photon
Clear Filters Showing 61 to 70 of 81 articles
Machine Learning Principles Can Improve Hip Fracture Prediction.
Calcified tissue international
Feb 14, 2017
Apply machine learning principles to predict hip fractures and estimate predictor importance in Dual-energy X-ray absorptiometry (DXA)-scanned men and women. Dual-energy X-ray absorptiometry data from two Danish regions between 1996 and 2006 were com...
Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 29, 2015
OBJECTIVE: The aim of this study was to explore the relationship between 25-hydroxyvitamin D (25[OH]D) serum concentrations and body fat distribution in a sample of postmenopausal women.
A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT.
International journal of medical informatics
Jul 1, 2025
OBJECTIVE: This study introduces an ensemble framework that integrates Vision Transformer (ViT) and Convolutional Neural Networks (CNN) models to leverage their complementary strengths, generating visualized and decision-transparent recommendations f...
Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records.
International journal of medical informatics
Jul 1, 2025
BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and healthcare costs. Approximately 90% of hip fractures in the elderly are associated with osteoporosis, making it particularly important to screen the ...
Enhancing osteoporosis risk prediction using machine learning: A holistic approach integrating biomarkers and clinical data.
Computers in biology and medicine
Jun 1, 2025
Osteoporosis (OP) affects approximately 18 % of the global population, with osteoporosis-associated fractures impacting up to 37 million people annually. While dual-energy X-ray absorptiometry (DXA) remains the gold standard for diagnosis, its limita...
Deep learning-based identification of vertebral fracture and osteoporosis in lateral spine radiographs and DXA vertebral fracture assessment to predict incident fracture.
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
May 24, 2025
Deep learning (DL) identification of vertebral fractures and osteoporosis in lateral spine radiographs and DXA vertebral fracture assessment (VFA) images may improve fracture risk assessment in older adults. In 26 299 lateral spine radiographs from 9...
Characterizing low femoral neck BMD in Qatar Biobank participants using machine learning models.
BMC musculoskeletal disorders
May 17, 2025
BACKGROUND: Identifying determinants of low bone mineral density (BMD) is crucial for understanding the underlying pathobiology and developing effective prevention and management strategies. Here we applied machine learning (ML) algorithms to predict...
Total radius BMD correlates with the hip and lumbar spine BMD among post-menopausal patients with fragility wrist fracture in a machine learning model.
Archives of osteoporosis
May 14, 2025
UNLABELLED: Osteoporosis screening should be systematic in the group of over 50-year-old females with a radius fracture. We tested a phantom combined with machine learning model and studied osteoporosis-related variables. This machine learning model ...
Hip
Finland
Osteoporosis, Postmenopausal
Osteoporotic Fractures
Absorptiometry, Photon
Radius
Radius Fractures
Phantoms, Imaging
Wrist Injuries
Tomography, X-Ray
Wrist Fractures
Osteoporosis
Female
Aged
Middle Aged
Mass Screening
Lumbar Vertebrae
Postmenopause
Bone Diseases, Metabolic
Humans
Machine Learning
Bone Density
Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network.
Journal of computer assisted tomography
May 13, 2025
OBJECTIVES: We evaluated the feasibility of using deep learning with a convolutional neural network for predicting bone mineral density (BMD) and bone microarchitecture from conventional computed tomography (CT) images acquired by multivendor scanner...
Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS).
Endocrinology, diabetes & metabolism
Jan 1, 2025
INTRODUCTION: In Iran, the assessment of osteoporosis through tools like dual-energy X-ray absorptiometry poses significant challenges due to their high costs and limited availability, particularly in small cities and rural areas. Our objective was t...
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