AIMC Topic: Absorptiometry, Photon

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Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?

The British journal of radiology Aug 1, 2024
OBJECTIVE: To evaluate whether the CT attenuation of bones seen on shoulder CT scans could be used to predict low bone mineral density (BMD) (osteopenia/osteoporosis), and to compare the performance of two machine learning models to predict low BMD.
Shoulder Bone Diseases, Metabolic Absorptiometry, Photon Sensitivity and Specificity Male Middle Aged Artificial Intelligence Bone Density Retrospective Studies Female Aged Osteoporosis Tomography, X-Ray Computed Humans
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Osteoporotic Precise Screening Using Chest Radiography and Artificial Neural Network: The OPSCAN Randomized Controlled Trial.

Radiology Jun 1, 2024
Background Diagnosing osteoporosis is challenging due to its often asymptomatic presentation, which highlights the importance of providing screening for high-risk populations. Purpose To evaluate the effectiveness of dual-energy x-ray absorptiometry ...
Neural Networks, Computer Osteoporosis Female Aged Humans Radiography, Thoracic Male Absorptiometry, Photon Middle Aged Mass Screening
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BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.

Health informatics journal Jan 1, 2024
To develop and test an NLP algorithm that accurately detects the presence of information reported from DXA scans containing femoral neck T-scores of the patients scanned. A rule-based NLP algorithm that iteratively built a collection of regular exp...
Female Male Natural Language Processing Absorptiometry, Photon Humans Algorithms Bone Density
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Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?

Clinical orthopaedics and related research Jul 1, 2021
BACKGROUND: Vertebral fractures are the most common osteoporotic fractures in older individuals. Recent studies suggest that the performance of artificial intelligence is equal to humans in detecting osteoporotic fractures, such as fractures of the h...
Lumbar Vertebrae Observer Variation Absorptiometry, Photon ROC Curve Thoracic Vertebrae Radiography Spinal Fractures Osteoporotic Fractures Female Reproducibility of Results Aged Male Deep Learning Aged, 80 and over Sensitivity and Specificity Humans Retrospective Studies
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Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.

Journal of thoracic imaging May 1, 2020
PURPOSE: The purpose of this study was to validate the accuracy of an artificial intelligence (AI) prototype application in determining bone mineral density (BMD) from chest computed tomography (CT), as compared with dual-energy x-ray absorptiometry ...
Absorptiometry, Photon Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Radiography, Thoracic Female Reproducibility of Results Aged Male Middle Aged Bone Density Aged, 80 and over Humans Retrospective Studies Adult Artificial Intelligence Tomography, X-Ray Computed
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Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier.

Journal of digital imaging Feb 1, 2020
To assess whether application of a support vector machine learning algorithm to ancillary data obtained from posterior-anterior dual-energy X-ray absorptiometry (DEXA) studies could identify patients with lumbar spine (L1-L4) vertebral body fractures...
Computers Female Aged Support Vector Machine Absorptiometry, Photon Male ROC Curve Humans Spinal Fractures
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Diagnosis of Osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on the bone mineral density (BMD) and T-score values measured in bone. However, development of standard algorithms for accurate segmentation and BMD mea...
Absorptiometry, Photon Bone Density Bone and Bones Osteoporosis Female Deep Learning Male Humans Radiography Radiographic Image Interpretation, Computer-Assisted
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Simulated Lumbar Dual-Energy X-Ray Absorptiometry With Machine Learning Algorithms: Why Radiologists Who Interpret Abdominal CTs Should Care.

Journal of the American College of Radiology : JACR Oct 1, 2019
Machine Learning Humans Algorithms Radiologists Tomography, X-Ray Computed Absorptiometry, Photon
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Automatic hip geometric feature extraction in DXA imaging using regional random forest.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to become permanently disabled or die from complications. Although currently the premier determiner, bone m...
Hip Fractures Absorptiometry, Photon Humans Decision Trees Algorithms Machine Learning Image Interpretation, Computer-Assisted Pelvic Bones
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Femur segmentation in DXA imaging using a machine learning decision tree.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (DXA) is essential for proper diagnosis of osteoporosis. Calculation of BMD requires precise bone segmentation and subtraction of soft tissue absorptio...
Femur Decision Trees Humans Image Interpretation, Computer-Assisted Machine Learning Absorptiometry, Photon Osteoporosis
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