AIMC Topic:
Image Interpretation, Computer-Assisted

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Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Apr 20, 2020
Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, departmental leaders, and health policymakers have attempted to discover efficient approaches to enhance the provision of quality patient care. There are in...
Image Interpretation, Computer-Assisted Trauma Centers Artificial Intelligence Emergency Service, Hospital Radiology Humans
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Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques.

Computers in biology and medicine Apr 18, 2020
Early detection is crucial to prevent the progression of Alzheimer's disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis of AD in the earliest and hardest to det...
Image Interpretation, Computer-Assisted Deep Learning Humans Magnetic Resonance Imaging Brain Alzheimer Disease
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Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

PloS one Apr 16, 2020
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
Aged Blindness Middle Aged Humans Choroidal Neovascularization Image Interpretation, Computer-Assisted Female Adult Myopia Retinoschisis Male Diagnosis, Differential Datasets as Topic Severity of Illness Index Deep Learning Choroid Macula Lutea ROC Curve Tomography, Optical Coherence Mass Screening
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Computer-Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI.

Journal of magnetic resonance imaging : JMRI Apr 15, 2020
BACKGROUND: Accurate interpretation of hip MRI is time-intensive and difficult, prone to inter- and intrareviewer variability, and lacks a universally accepted grading scale to evaluate morphological abnormalities.
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Computers Retrospective Studies Reproducibility of Results Humans Artificial Intelligence
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Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.

Scientific reports Apr 14, 2020
Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better understanding beyond standard quantitative performance evaluation. Recentl...
Humans ROC Curve Area Under Curve Image Interpretation, Computer-Assisted Neural Networks, Computer Neoplasms Deep Learning
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Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.

Neuroradiology Apr 13, 2020
PURPOSE: Severity of white matter lesion (WML) is typically evaluated on magnetic resonance images (MRI), yet the more accessible, faster, and less expensive method is computed tomography (CT). Our objective was to study whether WML can be automatica...
Leukoaraiosis Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Software Aged Neural Networks, Computer Tomography, X-Ray Computed Male Female Severity of Illness Index
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Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

European journal of radiology Apr 12, 2020
PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of thyroid (DLRT) for the differential diagnosis of benign and malignant thyroid nodules from ultrasound (US) images.
Female Reproducibility of Results Male Humans Retrospective Studies Cohort Studies Ultrasonography Thyroid Nodule Middle Aged Deep Learning Thyroid Gland Image Interpretation, Computer-Assisted ROC Curve Diagnosis, Differential Area Under Curve
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Deep learning for computational structural optimization.

ISA transactions Apr 10, 2020
We investigate a novel computational approach to computational structural optimization based on deep learning. After employing algorithms to solve the stiffness formulation of structures, we used their improvement to optimize the structural computati...
Neural Networks, Computer Algorithms Reproducibility of Results Stochastic Processes Deep Learning Least-Squares Analysis Image Interpretation, Computer-Assisted Stress, Mechanical
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Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 10, 2020
Cardiovascular diseases can be effectively prevented from worsening through early diagnosis. To this end, various methods have been proposed to detect the disease source by analyzing cardiac magnetic resonance images (MRI), wherein left ventricular s...
Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Humans Neural Networks, Computer Heart Ventricles
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Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.

Neuroradiology Apr 6, 2020
Radiomics is an emerging field that involves extraction and quantification of features from medical images. These data can be mined through computational analysis and models to identify predictive image biomarkers that characterize intra-tumoral dyna...
Fractals Biomarkers Brain Neoplasms Glioma Diagnosis, Differential Image Interpretation, Computer-Assisted Neuroimaging Humans Machine Learning
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