Humans

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Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

IEEE transactions on bio-medical engineering Jan 24, 2018
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD). The aim is the continuous monitoring of the hematocrit (...
Signal Processing, Computer-Assisted Databases, Factual Heart-Assist Devices Supervised Machine Learning Viscosity Hemodynamics Humans Hematocrit Models, Cardiovascular Monitoring, Physiologic Algorithms
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Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG.

Computational intelligence and neuroscience Jan 24, 2018
Needle electromyography can be used to detect the number of changes and morphological changes in motor unit potentials of patients with axonal neuropathy. General mathematical methods of pattern recognition and signal analysis were applied to recogn...
Support Vector Machine Signal Processing, Computer-Assisted Electromyography Entropy Peripheral Nervous System Diseases Adult Male Middle Aged Humans Female Aged Algorithms Young Adult
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Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction.

Journal of the Royal Society, Interface Jan 24, 2018
Obesity is a major global public health problem. Understanding how energy homeostasis is regulated, and can become dysregulated, is crucial for developing new treatments for obesity. Detailed recording of individual behaviour and new imaging modaliti...
Humans Homeostasis Glucose Models, Biological Energy Metabolism Machine Learning Databases, Factual Obesity
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A Biologically Inspired Approach to Frequency Domain Feature Extraction for EEG Classification.

Computational and mathematical methods in medicine Jan 23, 2018
Classification of electroencephalogram (EEG) signal is important in mental decoding for brain-computer interfaces (BCI). We introduced a feature extraction approach based on frequency domain analysis to improve the classification performance on diffe...
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Female Imagination Support Vector Machine Signal Processing, Computer-Assisted Electroencephalography Humans Brain-Computer Interfaces Algorithms Movement Brain
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Robot-assisted laparoscopic surgery versus conventional laparoscopic surgery in randomized controlled trials: A systematic review and meta-analysis.

PloS one Jan 23, 2018
IMPORTANCE: This review provides a comprehensive comparison of treatment outcomes between robot-assisted laparoscopic surgery (RLS) and conventional laparoscopic surgery (CLS) based on randomly-controlled trials (RCTs).
Robotic Surgical Procedures Humans Treatment Outcome Randomized Controlled Trials as Topic Robotics Laparoscopy
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Human Decisions in Moral Dilemmas are Largely Described by Utilitarianism: Virtual Car Driving Study Provides Guidelines for Autonomous Driving Vehicles.

Science and engineering ethics Jan 22, 2018
Ethical thought experiments such as the trolley dilemma have been investigated extensively in the past, showing that humans act in utilitarian ways, trying to cause as little overall damage as possible. These trolley dilemmas have gained renewed atte...
Humans Automation Morals Altruism Ethical Theory Automobiles Automobile Driving Artificial Intelligence Guidelines as Topic Virtual Reality Decision Making
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Coil Embolization of a Renal Aneurysm Using a Minimally Invasive Endovascular Robotic System.

Vascular and endovascular surgery Jan 22, 2018
We present a case demonstrating the use of an endovascular robotic system in the treatment of a saccular renal artery aneurysm located at the renal hilum in a young patient.
Embolization, Therapeutic Radiography, Interventional Endovascular Procedures Treatment Outcome Robotics Equipment Design Aneurysm Renal Circulation Therapy, Computer-Assisted Computed Tomography Angiography Renal Artery Humans Female Young Adult
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Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN).

Microscopy research and technique Jan 22, 2018
A tumor could be found in any area of the brain and could be of any size, shape, and contrast. There may exist multiple tumors of different types in a human brain at the same time. Accurate tumor area segmentation is considered primary step for treat...
Magnetic Resonance Imaging Brain Brain Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method.

Proceedings of the National Academy of Sciences of the United States of America Jan 22, 2018
Prevention and early intervention are the most effective ways of avoiding or minimizing psychological, physical, and financial suffering from cancer. However, such proactive action requires the ability to predict the individual's susceptibility to ca...
Probability Genome, Human Life Style Neoplasms Genetic Predisposition to Disease Polymorphism, Single Nucleotide Humans Machine Learning
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Edge conditions and crash-avoidance roles: the future of traffic safety in the world of autonomous vehicles.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Jan 20, 2018
Humans Artificial Intelligence Automation Motor Vehicles Consumer Product Safety Accidents, Traffic Safety Automobile Driving
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