AIMC Topic: Radiography

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Integrating ontologies of human diseases, phenotypes, and radiological diagnosis.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2019
Mappings between ontologies enable reuse and interoperability of biomedical knowledge. The Radiology Gamuts Ontology (RGO)-an ontology of 16 918 diseases, interventions, and imaging observations-provides a resource for differential diagnosis and auto...
Radiography Biological Ontologies Disease Systems Integration Humans Phenotype Diagnosis, Differential
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Personal Computer-Based Cephalometric Landmark Detection With Deep Learning, Using Cephalograms on the Internet.

The Journal of craniofacial surgery Jan 1, 2019
BACKGROUND: Cephalometric analysis has long been, and still is one of the most important tools in evaluating craniomaxillofacial skeletal profile. To perform this, manual tracing of x-ray film and plotting landmarks have been required. This procedure...
Humans Reproducibility of Results Microcomputers Anatomic Landmarks Cephalometry Internet Deep Learning Image Processing, Computer-Assisted Radiography
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Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology Jan 1, 2019
OBJECTIVES: The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.
Humans Radiography Tomography, X-Ray Computed Maxillary Sinus Deep Learning Male Maxillary Sinusitis Female ROC Curve Middle Aged Area Under Curve Sensitivity and Specificity
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Osteosarcoma Patients Classification Using Plain X-Rays and Metabolomic Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Osteosarcoma is the most common type of bone cancer. The primary means of osteosarcoma diagnosis is through evaluating plain x-rays. Using image analysis techniques, features that clinicians use to diagnose osteosarcoma can be quantified and studied ...
X-Rays Metabolomics Osteosarcoma Radiography ROC Curve Image Processing, Computer-Assisted Support Vector Machine Algorithms Sensitivity and Specificity Humans
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Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Bone age is an essential measure of skeletal maturity in children with growth disorders. It is typically assessed by a trained physician using radiographs of the hand and a reference model. However, it has been described that the reference models lea...
Child, Preschool Child Radiography Infant Deep Learning Adolescent Age Determination by Skeleton Hand Bones Image Interpretation, Computer-Assisted Observer Variation Normal Distribution Humans Retrospective Studies Female Infant, Newborn Young Adult
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Radiographic and Clinical Outcomes of Robot-Assisted Posterior Pedicle Screw Fixation: Two-Year Results from a Randomized Controlled Trial.

Yonsei medical journal May 1, 2018
PURPOSE: We prospectively assessed the early radiographic and clinical outcomes (minimum follow-up of 2 years) of robot-assisted pedicle screw fixation (Robot-PSF) and conventional freehand pedicle screw fixation (Conv-PSF).
Pedicle Screws Zygapophyseal Joint Visual Analog Scale Spinal Fusion Lumbar Vertebrae Range of Motion, Articular Prospective Studies Female Aged Treatment Outcome Humans Adult Radiography Robotics Male Pain Measurement Middle Aged
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Detection of high-grade small bowel obstruction on conventional radiography with convolutional neural networks.

Abdominal radiology (New York) May 1, 2018
The purpose of this pilot study is to determine whether a deep convolutional neural network can be trained with limited image data to detect high-grade small bowel obstruction patterns on supine abdominal radiographs. Grayscale images from 3663 clini...
Humans Neural Networks, Computer Female Aged Aged, 80 and over Young Adult Radiography Image Interpretation, Computer-Assisted Intestinal Obstruction Middle Aged Intestine, Small Adult Pilot Projects Sensitivity and Specificity Adolescent Male
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Spotlight on the 'humble' chest x-ray.

Radiography (London, England : 1995) Feb 1, 2018
United Kingdom Humans Artificial Intelligence Radiography, Thoracic Radiography
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Guest Editorial: Discovery and Artificial Intelligence.

AJR. American journal of roentgenology Dec 1, 2017
Radiography Humans Inventions Artificial Intelligence Delivery of Health Care
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From Images to Actions: Opportunities for Artificial Intelligence in Radiology.

Radiology Dec 1, 2017
Artificial Intelligence Radiography Radiology Humans
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