Search Results - "Clinical radiology"
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An update on COVID-19 for the radiologist - A British society of Thoracic Imaging statement
Published in Clinical radiology (01-05-2020)Get full text
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Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks
Published in Clinical radiology (01-05-2018)“…To identify the extent to which transfer learning from deep convolutional neural networks (CNNs), pre-trained on non-medical images, can be used for automated…”
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Artificial intelligence in breast imaging
Published in Clinical radiology (01-05-2019)“…This article reviews current limitations and future opportunities for the application of computer-aided detection (CAD) systems and artificial intelligence in…”
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Imaging manifestations and diagnostic value of chest CT of coronavirus disease 2019 (COVID-19) in the Xiaogan area
Published in Clinical radiology (01-05-2020)“…To report the epidemiological, clinical, and radiological characteristics of patients with COVID-19 in Xiaogan, Hubei, China. The complete clinical and imaging…”
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Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging
Published in Clinical radiology (01-01-2017)“…Tumour heterogeneity in cancers has been observed at the histological and genetic levels, and increased levels of intra-tumour genetic heterogeneity have been…”
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How far have we come? Artificial intelligence for chest radiograph interpretation
Published in Clinical radiology (01-05-2019)“…Due to recent advances in artificial intelligence, there is renewed interest in automating interpretation of imaging tests. Chest radiographs are particularly…”
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Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications
Published in Clinical radiology (01-01-2020)“…Artificial intelligence (AI) has been present in some guise within the field of radiology for over 50 years. The first studies investigating computer-aided…”
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PI-RADS version 2.1: one small step for prostate MRI
Published in Clinical radiology (01-11-2019)“…Multiparametric (mp) prostate magnetic resonance imaging (MRI) is playing an increasingly prominent role in the diagnostic work-up of patients with suspected…”
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Utilisation of deep learning for COVID-19 diagnosis
Published in Clinical radiology (01-02-2023)“…The COVID-19 pandemic that began in 2019 has resulted in millions of deaths worldwide. Over this period, the economic and healthcare consequences of COVID-19…”
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A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic
Published in Clinical radiology (01-05-2020)Get full text
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FDG PET/CT in infection and inflammation—current and emerging clinical applications
Published in Clinical radiology (01-07-2015)“…Integrated positron emission tomography/computed tomography (PET/CT) with the glucose analogue, 2-[18 F]-fluoro-2-deoxy- d -glucose (FDG), is an evolving…”
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NHS Breast Screening multidisciplinary working group guidelines for the diagnosis and management of breast lesions of uncertain malignant potential on core biopsy (B3 lesions)
Published in Clinical radiology (01-08-2018)“…Needle core biopsy is considered the histological diagnostic method of choice for screen-detected breast lesions. Although the majority are definitively…”
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Type 2 diabetes mellitus is associated with increased left ventricular mass independent of coronary artery volume
Published in Clinical radiology (01-12-2019)“…To determine the relationship of left ventricular mass (LVM) and coronary artery volume in diabetic patients and the controls. This work included 448…”
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Clinical role of breast MRI now and going forward
Published in Clinical radiology (01-08-2018)“…Magnetic resonance imaging (MRI) is a well-established method in breast imaging, with manifold clinical applications, including the non-invasive…”
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Introduction to radiomics for a clinical audience
Published in Clinical radiology (01-02-2023)“…Radiomics is a rapidly developing field of research focused on the extraction of quantitative features from medical images, thus converting these digital…”
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The future of CT: deep learning reconstruction
Published in Clinical radiology (01-06-2021)“…There have been substantial advances in computed tomography (CT) technology since its introduction in the 1970s. More recently, these advances have focused on…”
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Machine learning and glioma imaging biomarkers
Published in Clinical radiology (01-01-2020)“…To review how machine learning (ML) is applied to imaging biomarkers in neuro-oncology, in particular for diagnosis, prognosis, and treatment response…”
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The characteristics and clinical value of chest CT images of novel coronavirus pneumonia
Published in Clinical radiology (01-05-2020)“…To investigate the characteristics and clinical value of chest computed tomography (CT) images of novel coronavirus pneumonia (NCP). Clinical data and CT…”
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Cardiovascular magnetic resonance feature-tracking assessment of myocardial mechanics: Intervendor agreement and considerations regarding reproducibility
Published in Clinical radiology (01-09-2015)“…Aim To assess intervendor agreement of cardiovascular magnetic resonance feature tracking (CMR-FT) and to study the impact of repeated measures on…”
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A review of lung cancer screening and the role of computer-aided detection
Published in Clinical radiology (01-06-2017)“…Lung cancer is the leading cause of cancer-related death worldwide; however, early diagnosis of lung cancer leads to higher survival rates. The National Lung…”
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