AIMC Topic: Osteoporotic Fractures

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Osteoporotic hip fracture prediction from risk factors available in administrative claims data - A machine learning approach.

PloS one May 19, 2020
OBJECTIVE: Hip fractures are among the most frequently occurring fragility fractures in older adults, associated with a loss of quality of life, high mortality, and high use of healthcare resources. The aim was to apply the superlearner method to pre...
Logistic Models Nonlinear Dynamics Hip Fractures Germany Risk Factors Aged Aged, 80 and over Male Osteoporotic Fractures Humans Machine Learning Algorithms Retrospective Studies Female
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Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Radiology Sep 17, 2019
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting of fracture prevention therapies. Purpose To determine whether convolutional neural networks (CNNs) can be trained to identify VFs at VF assessment (VF...
Absorptiometry, Photon Spinal Fractures Osteoporotic Fractures Female Aged Male Hip Fractures Humans Neural Networks, Computer Prognosis Retrospective Studies
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Robot-assisted intravertebral augmentation corrects local kyphosis more effectively than a conventional fluoroscopy-guided technique.

Journal of neurosurgery. Spine Nov 30, 2018
OBJECTIVEIntravertebral augmentation (IVA) is a reliable minimally invasive technique for treating Magerl type A vertebral body fractures. However, poor correction of kyphotic angulation, the risk of cement leakage, and significant exposure to radiat...
Male Retrospective Studies Fractures, Compression Middle Aged Kyphosis Humans Vertebroplasty Robotics Female Spinal Fractures Osteoporotic Fractures Fluoroscopy Aged Adult
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Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.

Journal of magnetic resonance imaging : JMRI Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
Reproducibility of Results Aged Cross-Sectional Studies Middle Aged Case-Control Studies Magnetic Resonance Imaging ROC Curve Algorithms Linear Models Image Processing, Computer-Assisted Prospective Studies Osteoporotic Fractures Humans Body Mass Index Osteoporosis Machine Learning Female
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Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans.

Computers in biology and medicine May 8, 2018
Osteoporotic vertebral fractures (OVFs) are prevalent in older adults and are associated with substantial personal suffering and socio-economic burden. Early diagnosis and treatment of OVFs are critical to prevent further fractures and morbidity. How...
Neural Networks, Computer Spinal Fractures Osteoporosis Osteoporotic Fractures Tomography, X-Ray Computed Humans Image Interpretation, Computer-Assisted
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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...
Humans Female Machine Learning Middle Aged Bone Density Hip Fractures Risk Factors Absorptiometry, Photon Risk Assessment Aged Osteoporotic Fractures Cohort Studies Male Predictive Value of Tests
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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...
Middle Aged Bone Density Regression Analysis Osteoporotic Fractures Osteoporosis Humans Pattern Recognition, Automated Female Artificial Intelligence Densitometry Reproducibility of Results Machine Learning Algorithms
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Enabling Early Identification of Malignant Vertebral Compression Fractures Through 2.5D Convolutional Neural Network Model With CT Image Analysis.

Spine Dec 15, 2025
STUDY DESIGN: This study used a retrospective data analysis approach combined with model development and validation.
Osteoporotic Fractures Convolutional Neural Networks Spinal Neoplasms Spinal Fractures Fractures, Compression Humans Aged Neural Networks, Computer Aged, 80 and over Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female
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Improving prediction of fragility fractures in postmenopausal women using random forest.

Computers in biology and medicine Sep 1, 2025
Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality, leading to increased bone fragility and a higher susceptibility to fractures, even in response to minimal trauma. Osteoporotic fractures represent a...
Humans Machine Learning Algorithms Random Forest Bone Density Absorptiometry, Photon Postmenopause Female Osteoporosis, Postmenopausal Osteoporotic Fractures Aged Middle Aged
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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...
Aged Aged, 80 and over Male Middle Aged Humans Osteoporosis Female Absorptiometry, Photon Spinal Fractures Osteoporotic Fractures Deep Learning Incidence Radiography Spine
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