AIMC Topic: Absorptiometry, Photon

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Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network.

Dento maxillo facial radiology Aug 2, 2022
OBJECTIVES: This study was performed to develop computer-aided screening systems that could predict osteoporosis. The systems were constructed using panoramic radiographs of women aged ≥ 50 years through three types of deep convolutional neural netwo...
Female Deep Learning Radiography, Panoramic Absorptiometry, Photon Humans Neural Networks, Computer Bone Density Osteoporosis
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Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.

Sensors (Basel, Switzerland) Jun 7, 2022
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. In Qatar, there is a lac...
Cardiovascular Diseases Case-Control Studies Deep Learning Absorptiometry, Photon Humans Bone Density Adult
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Deep learning-based fully automated body composition analysis of thigh CT: comparison with DXA measurement.

European radiology Apr 18, 2022
OBJECTIVES: To compare volumetric CT with DL-based fully automated segmentation and dual-energy X-ray absorptiometry (DXA) in the measurement of thigh tissue composition.
Absorptiometry, Photon Tomography, X-Ray Computed Female Adult Middle Aged Deep Learning Humans Adipose Tissue Prospective Studies Thigh Body Composition
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Agreement of anthropometric and body composition measures predicted from 2D smartphone images and body impedance scales with criterion methods.

Obesity research & clinical practice Jan 31, 2022
BACKGROUND/OBJECTIVES: Body composition and anthropometry assessment from two-dimensional smartphone images is possible through advancement of computational hardware and artificial intelligence (AI) techniques. This study established agreement of a n...
Electric Impedance Absorptiometry, Photon Artificial Intelligence Female Adult Male Smartphone Body Mass Index Body Composition Anthropometry Humans
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Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Nutrients Jan 15, 2022
The key factors playing a role in the pathogenesis of metabolic alterations observed in many patients with obesity have not been fully characterized. Their identification is crucial, and it would represent a fundamental step towards better management...
Machine Learning Biomarkers Prognosis Retrospective Studies Humans Artificial Intelligence Middle Aged Insulin-Like Growth Factor I Health Status Metabolic Syndrome Female Risk Factors Adult Male Absorptiometry, Photon Obesity, Metabolically Benign Obesity Adipose Tissue Glycated Hemoglobin Alanine Transaminase
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Opportunistic Osteoporosis Screening Using Chest Radiographs With Deep Learning: Development and External Validation With a Cohort Dataset.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research Dec 13, 2021
Osteoporosis is a common, but silent disease until it is complicated by fractures that are associated with morbidity and mortality. Over the past few years, although deep learning-based disease diagnosis on chest radiographs has yielded promising res...
Mass Screening Lumbar Vertebrae Absorptiometry, Photon Bone Density Osteoporosis Deep Learning Humans
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Artificial neural network model effectively estimates muscle and fat mass using simple demographic and anthropometric measures.

Clinical nutrition (Edinburgh, Scotland) Nov 24, 2021
BACKGROUND & AIMS: Lean muscle and fat mass in the human body are important indicators of the risk of cardiovascular and metabolic diseases. Techniques such as dual-energy X-ray absorptiometry (DXA) accurately measure body composition, but they are c...
Muscle, Skeletal Adult Adipose Tissue Anthropometry Humans Male Body Composition Absorptiometry, Photon Nutrition Surveys Neural Networks, Computer Reference Values Demography Female Body Mass Index Reproducibility of Results
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Application of Medical Imaging Based on Deep Learning in the Treatment of Lumbar Degenerative Diseases and Osteoporosis with Bone Cement Screws.

Computational and mathematical methods in medicine Oct 11, 2021
OBJECTIVE: To explore the application value of magnetic resonance spectroscopy (MRS) and GSI-energy spectrum electronic computed tomography (CT) medical imaging based on the deep convolutional neural network (CNN) in the treatment of lumbar degenerat...
Bone Cements Aged, 80 and over Lumbar Vertebrae Magnetic Resonance Spectroscopy Osteoporosis Deep Learning Adult Bone Diseases Tomography, X-Ray Computed Male Humans Image Interpretation, Computer-Assisted Computational Biology Middle Aged Female Neural Networks, Computer Absorptiometry, Photon Adipose Tissue Aged Bone Density Bone Screws
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Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.

Archives of osteoporosis Oct 9, 2021
UNLABELLED: DeepDXA is a deep learning model designed to infer bone mineral density data from plain pelvis X-ray, and it can achieve good predicted value for clinical use.
Humans Neural Networks, Computer Bone Density Deep Learning Radiography Absorptiometry, Photon X-Rays
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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.

Nature communications Sep 16, 2021
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool pe...
Absorptiometry, Photon Deep Learning Fractures, Bone Lumbar Vertebrae Hip Fractures Male Middle Aged Risk Assessment Humans Algorithms Aged Bone Density Aged, 80 and over Osteoporosis Adult Female Sensitivity and Specificity Risk Factors
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