AIMC Topic: Radiography

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Improved diagnostic performance of plain radiography for cervical ossification of the posterior longitudinal ligament using deep learning.

PloS one Apr 27, 2022
BACKGROUND: A high false-negative rate has been reported for the diagnosis of ossification of the posterior longitudinal ligament (OPLL) using plain radiography. We investigated whether deep learning (DL) can improve the diagnostic performance of rad...
Cervical Vertebrae Osteogenesis Ossification of Posterior Longitudinal Ligament Humans Radiography Longitudinal Ligaments Deep Learning
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Applications of natural language processing in radiology: A systematic review.

International journal of medical informatics Apr 26, 2022
BACKGROUND: Recent advances in performance of natural language processing (NLP) techniques have spurred wider use and more sophisticated applications of NLP in radiology. This study systematically reviews the trends and applications of NLP in radiolo...
Radiology Machine Learning Data Management Natural Language Processing Radiography Humans
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Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks.

Frontiers in public health Apr 26, 2022
PURPOSE: To standardize the radiography imaging procedure, an image quality control framework using the deep learning technique was developed to segment and evaluate lumbar spine x-ray images according to a defined quality control standard.
Radiography Neural Networks, Computer Humans Quality Control Algorithms
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Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning.

Biomedical physics & engineering express Apr 22, 2022
Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology scan, and the ROI may be an organ or a suborgan. Although deep learning algorithms have the ability to outperform other methods, they rely on the avai...
Tomography, X-Ray Computed Supervised Machine Learning Imitative Behavior Diagnosis, Computer-Assisted Radiography
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Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning.

Scientific reports Apr 21, 2022
The coronavirus disease 2019 (COVID-19) pandemic has impacted healthcare systems across the world. Chest radiography (CXR) can be used as a complementary method for diagnosing/following COVID-19 patients. However, experience level and workload of tec...
Retrospective Studies Deep Learning Humans COVID-19 Radiography Radiography, Thoracic
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Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.

Sensors (Basel, Switzerland) Apr 20, 2022
Chest radiography is one of the most widely used diagnostic methods in hospitals, but it is difficult to read clearly because several human organ tissues and bones overlap. Therefore, various image processing and rib segmentation methods have been pr...
Radiography Humans X-Rays Neural Networks, Computer Deep Learning Ribs Image Processing, Computer-Assisted
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Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.

Computer methods and programs in biomedicine Apr 19, 2022
BACKGROUND: Due to the advancement of medical imaging and computer technology, machine intelligence to analyze clinical image data increases the probability of disease prevention and successful treatment. When diagnosing and detecting heart disease, ...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiography Heart Diseases Humans Deep Learning
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Australian perspectives on artificial intelligence in medical imaging.

Journal of medical radiation sciences Apr 15, 2022
INTRODUCTION: While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked interest in medical imaging, there has been little commentary on the impact of AI on imaging technologists. The aim of this survey was to unde...
Humans Artificial Intelligence Radionuclide Imaging Australia Deep Learning Radiography
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CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning.

Computers in biology and medicine Apr 15, 2022
BACKGROUND: Automated generation of radiological reports for different imaging modalities is essentially required to smoothen the clinical workflow and alleviate radiologists' workload. It involves the careful amalgamation of image processing techniq...
Deep Learning Image Processing, Computer-Assisted X-Rays Radiography Thorax
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Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE).

European radiology Apr 14, 2022
OBJECTIVE: There has been a large amount of research in the field of artificial intelligence (AI) as applied to clinical radiology. However, these studies vary in design and quality and systematic reviews of the entire field are lacking.This systemat...
Radiology Retrospective Studies Radiography Humans Artificial Intelligence Prospective Studies
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