AIMC Topic: Humans

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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
Humans Cerebrovascular Circulation Perfusion Imaging Spin Labels Imaging, Three-Dimensional Support Vector Machine Magnetic Resonance Imaging Area Under Curve Methamphetamine Amphetamine-Related Disorders Male Case-Control Studies ROC Curve Brain Young Adult Adult
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Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Jan 9, 2019
OBJECTIVE: Deep learning has recently been applied to electrical impedance tomography (EIT) imaging. Nevertheless, there are still many challenges that this approach has to face, e.g., targets with sharp corners or edges cannot be well recovered when...
Phantoms, Imaging Tomography Image Processing, Computer-Assisted Heart Electric Impedance Humans Lung Deep Learning
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Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.

IEEE journal of biomedical and health informatics Jan 9, 2019
Accurate and automatic organ segmentation is critical for computer-aided analysis towards clinical decision support and treatment planning. State-of-the-art approaches have achieved remarkable segmentation accuracy on large organs, such as the liver ...
Pancreas Adrenal Glands Gallbladder Tomography, X-Ray Computed Fuzzy Logic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Medical image analysis Jan 9, 2019
Machine learning approaches hold great potential for the automated detection of lung nodules on chest radiographs, but training algorithms requires very large amounts of manually annotated radiographs, which are difficult to obtain. The increasing av...
Datasets as Topic Humans Diagnosis, Computer-Assisted Radiography, Thoracic Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Lung Diseases Algorithms
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Hindmarsh-Rose neuron model with memristors.

Bio Systems Jan 9, 2019
We analyze single and coupled Hindmarsh-Rose neurons in the presence of a time varying electromagnetic field which results from the exchange of ions across the membrane. Memristors are used to model the relation between magnetic flux of the electroma...
Neural Networks, Computer Models, Neurological Models, Biological Electrical Synapses Humans Ion Exchange Electromagnetic Fields Membrane Potentials Neurons Nonlinear Dynamics Cell Membrane
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Image-based velocity estimation of rock using Convolutional Neural Networks.

Neural networks : the official journal of the International Neural Network Society Jan 9, 2019
Digital images of rock samples have been using extensively in Digital Rock Physics (DRP) to evaluate physical parameters of rock such as permeability, P- and S-wave velocities and formation factor. The parameters are numerically computed by simulatio...
Machine Learning Humans Image Processing, Computer-Assisted Geological Phenomena Neural Networks, Computer Artificial Intelligence
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Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

Journal of the American College of Surgeons Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Humans Blood Transfusion Sensitivity and Specificity Machine Learning Blood Pressure Male Algorithms Female Patient Selection Middle Aged Quality Improvement Abdominal Injuries Retrospective Studies Young Adult Laparotomy Clinical Decision-Making Adult Trauma Severity Indices
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Polymer Analog Memristive Synapse with Atomic-Scale Conductive Filament for Flexible Neuromorphic Computing System.

Nano letters Jan 9, 2019
With the advent of artificial intelligence (AI), memristors have received significant interest as a synaptic building block for neuromorphic systems, where each synaptic memristor should operate in an analog fashion, exhibiting multilevel accessible ...
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Humans Neural Networks, Computer Artificial Intelligence Nanotechnology Face Electric Conductivity Siloxanes Copper Equipment Design Nanostructures
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Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.

Journal of biomedical informatics Jan 9, 2019
BACKGROUND: Natural language processing (NLP) of health-related data is still an expertise demanding, and resource expensive process. We created a novel, open source rapid clinical text mining system called NimbleMiner. NimbleMiner combines several m...
Data Mining Electronic Health Records Accidental Falls Natural Language Processing Humans Machine Learning
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An ontological foundation for ocular phenotypes and rare eye diseases.

Orphanet journal of rare diseases Jan 9, 2019
BACKGROUND: The optical accessibility of the eye and technological advances in ophthalmic diagnostics have put ophthalmology at the forefront of data-driven medicine. The focus of this study is rare eye disorders, a group of conditions whose clinical...
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Humans Biological Ontologies Evidence-Based Medicine Rare Diseases Precision Medicine Computational Biology Eye Diseases
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