AIMC Topic: Radiography

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Translation of morphological and functional musculoskeletal imaging.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Oct 29, 2018
In an effort to develop quantitative biomarkers for degenerative joint disease and fill the void that exists for diagnosing, monitoring, and assessing the extent of whole joint degeneration, the past decade has been marked by a greatly increased role...
Humans Radiography Osteoarthritis, Knee Osteoarthritis, Hip Bone Remodeling Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Deep neural network improves fracture detection by clinicians.

Proceedings of the National Academy of Sciences of the United States of America Oct 22, 2018
Suspected fractures are among the most common reasons for patients to visit emergency departments (EDs), and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients for fractures. Missing a fracture in a radiograph often ha...
Emergency Medicine Hospital Rapid Response Team Radiography Wrist Image Interpretation, Computer-Assisted Diagnostic Errors Deep Learning Fractures, Bone Neural Networks, Computer Sensitivity and Specificity Humans
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Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network.

AJR. American journal of roentgenology Oct 9, 2018
OBJECTIVE: The purpose of this study is to determine whether a deep convolutional neural network (DCNN) trained on a dataset of limited size can accurately diagnose traumatic pediatric elbow effusion on lateral radiographs.
Humans Young Adult Sensitivity and Specificity Male Infant Neural Networks, Computer Retrospective Studies Female Elbow Injuries Child Radiography Elbow Joint Observer Variation Diagnosis, Computer-Assisted Adolescent Child, Preschool
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Prediction of spinal curve progression in Adolescent Idiopathic Scoliosis using Random Forest regression.

Computers in biology and medicine Oct 4, 2018
BACKGROUND: The progression of the spinal curve represents one of the major concerns in the assessment of Adolescent Idiopathic Scoliosis (AIS). The prediction of the shape of the spine from the first visit could guide the management of AIS and provi...
Decision Trees Radiography Scoliosis Imaging, Three-Dimensional Thoracic Vertebrae Regression Analysis Humans Disease Progression Adolescent Machine Learning Databases, Factual
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Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography.

Journal of gastroenterology Oct 3, 2018
BACKGROUND: Deep learning has become a new trend of image recognition tasks in the field of medicine. We developed an automated gastritis detection system using double-contrast upper gastrointestinal barium X-ray radiography.
Gastritis False Negative Reactions Barium Middle Aged Humans Deep Learning Neural Networks, Computer Radiography Sensitivity and Specificity Retrospective Studies Male Female
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Sensor, Signal, and Imaging Informatics in 2017.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVE:  To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.
Monitoring, Physiologic Radiography Diagnostic Imaging Signal Processing, Computer-Assisted Humans Machine Learning Electrocardiography
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Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.

Journal of biomedical informatics Jul 17, 2018
OBJECTIVE: Application of machine learning techniques for automatic and reliable classification of clinical documents have shown promising results. However, machine learning models require abundant training data specific to each target hospital and m...
Humans Neural Networks, Computer Databases, Factual Deep Learning Machine Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Computational Biology Support Vector Machine Radiography
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Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by clinicians during patient encounters. These reports contain rich clinical information which can be le...
Abdomen Surgical Wound Infection Humans Natural Language Processing Radiography Datasets as Topic Machine Learning Radiology Information Systems Reference Standards Electronic Health Records Vocabulary, Controlled
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Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Academic radiology Mar 28, 2018
RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four hea...
Low Back Pain Magnetic Resonance Imaging Natural Language Processing Aged Radiography Aged, 80 and over Male Humans Adult Lumbar Vertebrae Middle Aged Machine Learning Sensitivity and Specificity Cohort Studies Female
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The future of radiology augmented with Artificial Intelligence: A strategy for success.

European journal of radiology Mar 14, 2018
The rapid development of Artificial Intelligence/deep learning technology and its implementation into routine clinical imaging will cause a major transformation to the practice of radiology. Strategic positioning will ensure the successful transition...
Radiology Radiologists Diffusion of Innovation Humans Radiology Information Systems Artificial Intelligence Forecasting Decision Support Techniques Radiography
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