AIMC Topic: Humans

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Artificially intelligent proteomics improves cardiovascular risk assessment.

EBioMedicine Jan 14, 2019
(3)
Artificial Intelligence Biomarkers Risk Factors Humans Proteome Cardiovascular Diseases Risk Assessment Proteomics
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Task representations in neural networks trained to perform many cognitive tasks.

Nature neuroscience Jan 14, 2019
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot be elucidated in traditional experimental and modeling studies designed for one task at a time. Here, we trained single network models to perform 20 cogniti...
(1)
Brain Humans Computer Simulation Neural Networks, Computer Learning Decision Making Neurons Memory, Short-Term Cognition Models, Neurological
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Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms.

Sensors (Basel, Switzerland) Jan 14, 2019
As the aging of the population becomes more severe, wheelchair-mounted robotic arms (WMRAs) are gaining an increased amount of attention. Laser pointer interactions are an attractive method enabling humans to unambiguously point out objects and pick ...
Wheelchairs Robotics Arm Lasers Humans Algorithms Hand Strength
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
(2)
Thermometry Child Male Humans Longitudinal Studies Optical Imaging Infant Machine Learning Models, Statistical Shock, Cardiogenic Blood Pressure Adolescent Heart Rate Child, Preschool
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Automated analysis of cardiovascular magnetic resonance myocardial native T mapping images using fully convolutional neural networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 14, 2019
BACKGROUND: Cardiovascular magnetic resonance (CMR) myocardial native T mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T are measured manually by drawing region of interest in motion-corrected T...
Male Cardiovascular Diseases Middle Aged Deep Learning Prospective Studies Reproducibility of Results Female Aged Adult Humans Workflow Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Predictive Value of Tests Observer Variation Myocardium Automation
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Facility Layout Planning with SHELL and Fuzzy AHP Method Based on Human Reliability for Operating Theatre.

Journal of healthcare engineering Jan 14, 2019
A well-design facility layout planning refers to the reduction of the operation cost in the manufacturing and service industry. This work consists of reliability analysis of facility layout for an operating theatre; it aims at proposing a new evaluat...
Facility Design and Construction Decision Making Humans Ergonomics Operating Rooms Reproducibility of Results Fuzzy Logic
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Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation.

Journal of healthcare engineering Jan 14, 2019
Breast tumor segmentation plays a crucial role in subsequent disease diagnosis, and most algorithms need interactive prior to firstly locate tumors and perform segmentation based on tumor-centric candidates. In this paper, we propose a fully convolut...
Breast Image Interpretation, Computer-Assisted Humans Breast Neoplasms Algorithms Neural Networks, Computer Mammography Female
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Application of convolutional neural networks for classification of adult mosquitoes in the field.

PloS one Jan 14, 2019
Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus Aedes and have caused several outbreaks in world over the past ten years. Morphological identification of mosquitos is currently restricted due to the small number of ...
Arbovirus Infections Culex Animals Male Image Processing, Computer-Assisted Mosquito Vectors Models, Anatomic Aedes Species Specificity Machine Learning Databases, Factual Female Humans Neural Networks, Computer
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Enhancing Confusion Entropy (CEN) for binary and multiclass classification.

PloS one Jan 14, 2019
Different performance measures are used to assess the behaviour, and to carry out the comparison, of classifiers in Machine Learning. Many measures have been defined on the literature, and among them, a measure inspired by Shannon's entropy named the...
(1)
Machine Learning Algorithms Female Breast Neoplasms Humans Entropy Gene Expression Profiling Computational Biology Models, Biological
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Deep image reconstruction from human brain activity.

PLoS computational biology Jan 14, 2019
The mental contents of perception and imagery are thought to be encoded in hierarchical representations in the brain, but previous attempts to visualize perceptual contents have failed to capitalize on multiple levels of the hierarchy, leaving it cha...
(1)
Humans Algorithms Brain Magnetic Resonance Imaging Signal Processing, Computer-Assisted Photic Stimulation Female Male Imagination Young Adult Deep Learning Image Processing, Computer-Assisted Adult
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