AIMC Topic: Bone Density
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Artificial neural network optimizes self-examination of osteoporosis risk in women.
The Journal of international medical research
Jun 10, 2019
OBJECTIVE: This study aimed to investigate the application of an artificial neural network (ANN) in optimizing the Osteoporosis Self-Assessment Tool for Asians (OSTA) score.
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11.
European urology oncology
Jun 8, 2019
BACKGROUND: Owing to the large variation in treatment response among patients with high-risk prostate cancer, it would be of value to use objective tools to monitor the status of bone metastases during clinical trials. Automated Bone Scan Index (aBSI...
Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade.
Journal of the American College of Radiology : JACR
Apr 12, 2019
PURPOSE: Osteoporosis is an underdiagnosed condition despite effective screening modalities. Dual-energy x-ray absorptiometry (DEXA) screening, although recommended in clinical guidelines, remains markedly underutilized. In contrast to DEXA, CT utili...
Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.
European radiology
Dec 5, 2018
PURPOSE: To evaluate the diagnostic performance of bone texture analysis (TA) combined with machine learning (ML) algorithms in standard CT scans to identify patients with vertebrae at risk for insufficiency fractures.
Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study.
Ultrasonics
Nov 30, 2018
PURPOSE: Axial transmission quantitative acoustics (ax-QA) has shown to be a promising tool for assessing bone health and properties in a safe, inexpensive, and portable manner. This study investigated the efficacy of low-frequency ax-QA measured at ...
A Novel Morphological Analysis of DXA-DICOM Images by Artificial Neural Networks for Estimating Bone Mineral Density in Health and Disease.
Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
Sep 5, 2018
One of the best methods for diagnosing bone disease in humans is site-specific and total bone mineral density (BMD) measurements by Dual-energy X-ray Absorptiometry (DXA) machines. The basic disadvantage of this technology is inconsistent BMD measure...
Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.
BMC research notes
Nov 10, 2017
OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor medicine for women with osteoporosis, because of the possible presence of personal risk factors affecting the severity of osteoporosis in the future....
DXAGE: A New Method for Age at Death Estimation Based on Femoral Bone Mineral Density and Artificial Neural Networks.
Journal of forensic sciences
Aug 29, 2017
Age at death estimation in adult skeletons is hampered, among others, by the unremarkable correlation of bone estimators with chronological age, implementation of inappropriate statistical techniques, observer error, and skeletal incompleteness or de...
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...
Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches.
Dento maxillo facial radiology
Jun 8, 2016
OBJECTIVES: This study proposed a new automated screening system based on a hybrid genetic swarm fuzzy (GSF) classifier using digital dental panoramic radiographs to diagnose females with a low bone mineral density (BMD) or osteoporosis.
Fractals
Cortical Bone
Cancellous Bone
Aged
Aged, 80 and over
Sensitivity and Specificity
Middle Aged
Diagnosis, Computer-Assisted
Humans
Algorithms
Bone Density
Female
Radiography, Panoramic
Mandible
Lumbar Vertebrae
Image Processing, Computer-Assisted
Bone Diseases, Metabolic
Fuzzy Logic
Femur Neck
Predictive Value of Tests
Osteoporosis, Postmenopausal
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