AIMC Topic: Radiography

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Feasibility of automatic measurements of hip joints based on pelvic radiography and a deep learning algorithm.

European journal of radiology Sep 25, 2020
PURPOSE: To develop and evaluate an automatic measurement model for hip joints based on anteroposterior (AP) pelvic radiography and a deep learning algorithm.
Humans Hip Joint Algorithms Deep Learning Radiography Feasibility Studies
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Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients.

Scientific reports Sep 23, 2020
Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any quantitative analysis because signal intensities (SI) do not have standardized units. Radiomics combine quantification of tumors' radiological phenotype...
Magnetic Resonance Imaging Radiography Sarcoma Soft Tissue Neoplasms Supervised Machine Learning Progression-Free Survival Image Interpretation, Computer-Assisted Humans Young Adult Prognosis Adult Female Male Middle Aged Reproducibility of Results Aged Aged, 80 and over
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Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.

Radiology Sep 22, 2020
Humans Health Mass Screening Early Detection of Cancer Radiography Lung Thorax Deep Learning Lung Neoplasms
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COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

Interdisciplinary sciences, computational life sciences Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
Coronavirus Coronavirus Infections Reference Values COVID-19 Testing Datasets as Topic Deep Learning X-Rays Humans Pneumonia Clinical Laboratory Techniques Neural Networks, Computer Radiography Betacoronavirus Tomography, X-Ray Computed Machine Learning Models, Biological Pneumonia, Viral Pandemics SARS-CoV-2 Lung COVID-19 Algorithms Databases, Factual
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Applications of artificial intelligence (AI) in diagnostic radiology: a technography study.

European radiology Sep 18, 2020
OBJECTIVES: Why is there a major gap between the promises of AI and its applications in the domain of diagnostic radiology? To answer this question, we systematically review and critically analyze the AI applications in the radiology domain.
Radiography Radiology Workflow Artificial Intelligence Forecasting
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
COVID-19 Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Artificial Intelligence Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Intensive Care Units Female SARS-CoV-2 Hospitalization Neurodegenerative Diseases Age Factors Coronary Artery Disease Radiography Sex Factors Emergency Service, Hospital Radiography, Thoracic Proportional Hazards Models Comorbidity Italy Mortality Severity of Illness Index Deep Learning
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A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning.

Applied clinical informatics Sep 16, 2020
BACKGROUND: Incidental radiographic findings, such as adrenal nodules, are commonly identified in imaging studies and documented in radiology reports. However, patients with such findings frequently do not receive appropriate follow-up, partially due...
Medical Informatics Risk Incidental Findings Adrenal Gland Diseases Databases, Factual Humans Natural Language Processing Machine Learning Radiography Software Internet
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Comparison of performances of conventional and deep learning-based methods in segmentation of lung vessels and registration of chest radiographs.

Radiological physics and technology Sep 11, 2020
Conventional machine learning-based methods have been effective in assisting physicians in making accurate decisions and utilized in computer-aided diagnosis for more than 30 years. Recently, deep learning-based methods, and convolutional neural netw...
Neural Networks, Computer Lung Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Radiography
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Artificial Intelligence and Texture Analysis in Cardiac Imaging.

Current cardiology reports Sep 10, 2020
PURPOSE OF REVIEW: The aim of this structured review is to summarize the current research applications and opportunities arising from artificial intelligence (AI) and texture analysis with regard to cardiac imaging.
Image Processing, Computer-Assisted Radiography Heart Cardiac Imaging Techniques Humans Artificial Intelligence
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Deep learning-based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals.

European radiology Aug 28, 2020
OBJECTIVES: Performance of deep learning-based automated detection (DLAD) algorithms in systematic screening for active pulmonary tuberculosis is unknown. We aimed to validate DLAD algorithm for detection of active pulmonary tuberculosis and any radi...
Radiography Tuberculosis, Pulmonary Radiography, Thoracic Adult Humans Sensitivity and Specificity Algorithms Deep Learning Young Adult
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