AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?

Investigative radiology Feb 1, 2021
OBJECTIVE: The aim of this study was to compare the performance of 2 approved computer-aided detection (CAD) systems for detection of pulmonary solid nodules (PSNs) in an oncologic cohort. The first CAD system is based on a conventional machine learn...
Humans Retrospective Studies Sensitivity and Specificity Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Machine Learning Computers
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[Effect of Automatic Extraction Accuracy by Different Image Reconstruction Methods Using a Three-dimensional Image Analysis System for Pulmonary Segmentectomy Preoperative CT Angiography].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2021
This study aimed to determine the optimal image reconstruction method for preoperative computed tomography (CT) angiography for pulmonary segmentectomy. This study enrolled 20 patients who underwent contrast-enhanced CT examination for pulmonary segm...
Vena Cava, Superior Radiation Dosage Angiography Computed Tomography Angiography Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Pneumonectomy Deep Learning Imaging, Three-Dimensional
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Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVE: To assess clinical application of applying deep learning image reconstruction (DLIR) algorithm to contrast-enhanced portal venous phase liver computed tomography (CT) for improving image quality and lesions detection rate compared with usi...
Humans Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Image Processing, Computer-Assisted Liver
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A preliminary evaluation study of applying a deep learning image reconstruction algorithm in low-kilovolt scanning of upper abdomen.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVE: To investigate feasibility of applying deep learning image reconstruction (DLIR) algorithm in a low-kilovolt enhanced scan of the upper abdomen.
Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Image Processing, Computer-Assisted Abdomen
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[9. Computerized Diagnostic Aid for Mammography Using Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2021
Female Breast Neoplasms Humans Mammography Deep Learning Radiographic Image Interpretation, Computer-Assisted
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A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVES: To explore the feasibility of achieving diagnostic images in low-dose abdominal CT using a Deep Learning Image Reconstruction (DLIR) algorithm.
Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiation Dosage Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.

Clinical orthopaedics and related research Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Visual Perception Musculoskeletal System Orthopedic Surgeons Radiographic Image Interpretation, Computer-Assisted Machine Learning Musculoskeletal Diseases Humans Clinical Competence Magnetic Resonance Imaging Pattern Recognition, Automated Reproducibility of Results Ultrasonography Diagnosis, Differential Predictive Value of Tests
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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Cardiovascular research Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Vascular Calcification Computed Tomography Angiography Pericardium Myocardial Infarction Sex Factors Multidetector Computed Tomography Decision Support Techniques Prospective Studies Humans Machine Learning Time Factors Prognosis Aged Radiographic Image Interpretation, Computer-Assisted Adipose Tissue Middle Aged Coronary Angiography Female Male Coronary Artery Disease Predictive Value of Tests Risk Assessment Cause of Death Risk Factors
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Computed Tomography Image Reconstruction.

Radiologic technology Nov 1, 2020
Filtered back projection was used in computed tomography (CT) but produced low-dose CT images that were noisy and included artifacts. Iterative reconstruction was introduced, which reduced noise and demonstrated dose reduction; however, reconstructio...
Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Radiation Dosage Algorithms Tomography, X-Ray Computed
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Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs.

Journal of thoracic imaging Nov 1, 2020
PURPOSE: To evaluate the performance of a deep learning (DL) algorithm for the detection of COVID-19 on chest radiographs (CXR).
Middle Aged Lung Deep Learning COVID-19 Adult Radiographic Image Interpretation, Computer-Assisted Humans Female Sensitivity and Specificity Aged Algorithms Radiography, Thoracic SARS-CoV-2 Male Retrospective Studies Young Adult
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