AIMC Topic: Radiography

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Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization.

Scientific reports Apr 18, 2019
Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural net...
Humans Radiography Tuberculosis Thorax Databases, Factual X-Rays Deep Learning Image Processing, Computer-Assisted Support Vector Machine Neural Networks, Computer Machine Learning Algorithms
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Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments.

Acta orthopaedica Apr 3, 2019
Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identify...
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Algorithms Female Aged Radiography Radiographic Image Interpretation, Computer-Assisted Radius Fractures Wrist Injuries Male Middle Aged Deep Learning Humans ROC Curve Neural Networks, Computer Artificial Intelligence
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An Adolescent with Progressive Enlargement of Digits: Case report and proposed diagnostic criteria for macrodystrophia lipomatosa.

Sultan Qaboos University medical journal Mar 28, 2019
Macrodystrophia lipomatosa (ML) is a rare congenital non-hereditary condition caused by an increase in all mesenchymal elements. We report a 14-year-old girl who presented to the Medical Outpatient Department, Kunhitharuvai Memorial Charitable Trust ...
Fingers Gigantism Humans India Female Magnetic Resonance Imaging Adolescent Diagnosis, Differential Radiography
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Application of deep learning-based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy.

European radiology Mar 26, 2019
OBJECTIVES: To retrospectively evaluate the diagnostic performance of a convolutional neural network (CNN) model in detecting pneumothorax on chest radiographs obtained after percutaneous transthoracic needle biopsy (PTNB) for pulmonary lesions.
Drainage Area Under Curve Radiography Image-Guided Biopsy Biopsy, Needle Pneumothorax Lung Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Retrospective Studies ROC Curve Female Sensitivity and Specificity Male Middle Aged
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Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 12, 2019
PURPOSE: We present an automated method for extracting anatomical parameters from biplanar radiographs of the spine, which is able to deal with a wide scenario of conditions, including sagittal and coronal deformities, degenerative phenomena as well ...
Radiography Anatomic Landmarks Spine Hip Joint Neural Networks, Computer Deep Learning Models, Statistical Spinal Curvatures Humans
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Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.

Clinical rheumatology Mar 8, 2019
INTRODUCTION: Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we used plain hand radiographs and...
Arthritis, Rheumatoid Radiography Hand Humans Neural Networks, Computer Sensitivity and Specificity
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Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study.

Osteoarthritis and cartilage Feb 28, 2019
OBJECTIVE: To assess the ability of radiography-based bone texture variables in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) over a 10 years period.
Prospective Studies Female Male Middle Aged Incidence Cohort Studies ROC Curve Area Under Curve Image Processing, Computer-Assisted Humans Femur Radiography Machine Learning Body Mass Index Osteoarthritis, Hip Netherlands Acetabulum Fractals Arthroplasty, Replacement, Hip Osteophyte
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Is Image Interpretation a Sustainable Form of Advanced Practice in Medical Imaging?

Journal of medical imaging and radiation sciences Feb 1, 2019
Radiologists Image Interpretation, Computer-Assisted Humans Artificial Intelligence Radiography
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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.

International journal of environmental research and public health Jan 16, 2019
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic vari...
Female Adult Sensitivity and Specificity Male Tuberculosis, Pulmonary Humans Middle Aged Occupational Health Deep Learning Demography ROC Curve Physical Examination Radiography
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Artificial intelligence, machine learning, and the human interface in medicine: Is there a sweet spot for oral and maxillofacial radiology?

Oral surgery, oral medicine, oral pathology and oral radiology Jan 8, 2019
Mouth Maxillofacial Abnormalities Humans Artificial Intelligence Machine Learning Radiography Radiology
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