AIMC Topic: Bone Density
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Automatic Estimation of Osteoporotic Fracture Cases by Using Ensemble Learning Approaches.
Journal of medical systems
Dec 12, 2015
Ensemble learning methods are one of the most powerful tools for the pattern classification problems. In this paper, the effects of ensemble learning methods and some physical bone densitometry parameters on osteoporotic fracture detection were inves...
Automatic adult age estimation using bone mineral density of proximal femur via deep learning.
Forensic science international
Jul 1, 2025
Accurate adult age estimation (AAE) is critical for forensic and anthropological applications, yet traditional methods relying on bone mineral density (BMD) face significant challenges due to biological variability and methodological limitations. Thi...
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 ...
A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.
American journal of human genetics
Jun 5, 2025
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasured confounding factors. However, traditional MR's reliance on strong parametric assumptions can introduce bias if these are violated. We describe a ma...
Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?
The British journal of radiology
Jun 1, 2025
OBJECTIVES: To investigate the impacts of a deep learning-based iterative reconstruction algorithm on image quality and measuring accuracy of bone mineral density (BMD) in low-dose chest CT.
Comparative Analysis of Feature Extraction Methods and Machine Learning Models for Predicting Osteoporosis Prevalence.
Journal of medical systems
May 29, 2025
This study systematically examined the impact of three feature selection techniques (Boruta, Extreme gradient boosting (XGBoost), and Lasso) for optimizing four machine learning models (Random forest (RF), XGBoost, Logistic regression (LR), and Suppo...
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 ...
Wrist Fractures
Humans
Machine Learning
Bone Density
Osteoporosis
Radius
Radius Fractures
Lumbar Vertebrae
Phantoms, Imaging
Female
Postmenopause
Hip
Bone Diseases, Metabolic
Finland
Aged
Absorptiometry, Photon
Osteoporosis, Postmenopausal
Middle Aged
Osteoporotic Fractures
Mass Screening
Wrist Injuries
Tomography, X-Ray
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...
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