AIMC Topic: Radiography

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Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs.

Korean journal of radiology Jan 4, 2022
OBJECTIVE: To develop and evaluate a deep learning-based artificial intelligence (AI) model for detecting skull fractures on plain radiographs in children.
Artificial Intelligence Retrospective Studies Humans Radiographic Image Interpretation, Computer-Assisted Skull Fractures Skull Child Radiography Sensitivity and Specificity Deep Learning
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Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.

European radiology Jan 1, 2022
OBJECTIVES: We aim ed to evaluate a commercial artificial intelligence (AI) solution on a multicenter cohort of chest radiographs and to compare physicians' ability to detect and localize referable thoracic abnormalities with and without AI assistanc...
Retrospective Studies Sensitivity and Specificity Artificial Intelligence Prospective Studies Radiography, Thoracic Outpatients Cohort Studies Radiography Humans
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Domain generalization on medical imaging classification using episodic training with task augmentation.

Computers in biology and medicine Dec 24, 2021
Medical imaging datasets usually exhibit domain shift due to the variations of scanner vendors, imaging protocols, etc. This raises the concern about the generalization capacity of machine learning models. Domain generalization (DG), which aims to le...
Machine Learning Computer Simulation Radiography Diagnostic Imaging
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Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons.

Journal of digital imaging Dec 15, 2021
In recent years, fracture image diagnosis using a convolutional neural network (CNN) has been reported. The purpose of the present study was to evaluate the ability of CNN to diagnose distal radius fractures (DRFs) using frontal and lateral wrist rad...
Deep Learning Humans Neural Networks, Computer Radiography Wrist Orthopedic Surgeons
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Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.

BMJ open Dec 7, 2021
OBJECTIVES: To evaluate the ability of a commercially available comprehensive chest radiography deep convolutional neural network (DCNN) to detect simple and tension pneumothorax, as stratified by the following subgroups: the presence of an intercost...
Radiography Radiography, Thoracic Case-Control Studies Deep Learning Pneumothorax Humans Algorithms Retrospective Studies
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A relation-based framework for effective teeth recognition on dental periapical X-rays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 2, 2021
Dental periapical X-rays are used as a popular tool by dentists for diagnosis. To provide dentists with diagnostic support, in this paper, we achieve automated teeth recognition of dental periapical X-rays by using deep learning techniques, including...
Tooth Radiography X-Rays Neural Networks, Computer
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Deep neural models for automated multi-task diagnostic scan management-quality enhancement, view classification and report generation.

Biomedical physics & engineering express Nov 30, 2021
The detailed physiological perspectives captured by medical imaging provides actionable insights to doctors to manage comprehensive care of patients. However, the quality of such diagnostic image modalities is often affected by mismanagement of the i...
Radiography Radionuclide Imaging Humans Neural Networks, Computer
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Assessment of automatic cephalometric landmark identification using artificial intelligence.

Orthodontics & craniofacial research Nov 29, 2021
OBJECTIVE: To compare the accuracy of cephalometric landmark identification between artificial intelligence (AI) deep learning convolutional neural networks (CNN) You Only Look Once, Version 3 (YOLOv3) algorithm and the manually traced (MT) group.
Cephalometry Incisor Artificial Intelligence Radiography
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Artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.

European journal of radiology Nov 28, 2021
PURPOSE: To develop a deep learning-based model for measuring automatic lumbosacral anatomical parameters from lateral lumbar radiographs and compare its performance to that of attending-level radiologists.
Reproducibility of Results Radiography Artificial Intelligence Technology Lumbar Vertebrae Humans X-Rays
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Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

Medical image analysis Nov 26, 2021
Domain shift, the mismatch between training and testing data characteristics, causes significant degradation in the predictive performance in multi-source imaging scenarios. In medical imaging, the heterogeneity of population, scanners and acquisitio...
Radiography Alzheimer Disease Neuroimaging Machine Learning Magnetic Resonance Imaging Humans
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