AIMC Topic: Humans

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A renaissance of teleophthalmology through artificial intelligence.

Eye (London, England) Jan 8, 2019
Artificial Intelligence Clinical Decision-Making Female Male Humans Diabetic Retinopathy Disease Management Middle Aged Ophthalmology Telemedicine
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Artificial intelligence, machine learning, and the human interface in medicine: Is there a sweet spot for oral and maxillofacial radiology?

Oral surgery, oral medicine, oral pathology and oral radiology Jan 8, 2019
Radiography Humans Radiology Artificial Intelligence Mouth Machine Learning Maxillofacial Abnormalities
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Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

NeuroImage Jan 8, 2019
Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in developmental studies. Currently, many studies rely on visual inspection by trained raters for quality ...
Conduct Disorder Human Development Magnetic Resonance Imaging Quality Control Datasets as Topic Neuroimaging Child Support Vector Machine Longitudinal Studies Humans Adult Autism Spectrum Disorder Sensitivity and Specificity Brain Cross-Sectional Studies Young Adult Adolescent
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An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries.

Journal of neural engineering Jan 8, 2019
OBJECTIVE: In this study, we combine a wheelchair and an intelligent robotic arm based on an electrooculogram (EOG) signal to help patients with spinal cord injuries (SCIs) accomplish a self-drinking task. The main challenge is to accurately control ...
Humans Female Young Adult Blinking Spinal Cord Injuries Eye Movements Man-Machine Systems User-Computer Interface Adult Robotics Electrooculography Male Psychomotor Performance Wheelchairs Adolescent
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NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2019
Traditional recommender systems rely on user profiling based on either user ratings or reviews through bi-sentimental analysis. However, in real-world scenarios, there are two common phenomena: (1) users only provide ratings for items but without det...
Humans Databases, Factual Neural Networks, Computer Algorithms Bias
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Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements.

Accident; analysis and prevention Jan 8, 2019
Proactive traffic safety management systems can monitor traffic conditions in real-time, identify the formation of unsafe traffic dynamics, and implement suitable interventions to bring unsafe conditions back to normal traffic situations. Recent adva...
Data Mining Safety Management Built Environment Humans Risk Assessment Artificial Intelligence Logistic Models Accidents, Traffic
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Performance of machine-learning algorithms to pattern recognition and classification of hearing impairment in Brazilian farmers exposed to pesticide and/or cigarette smoke.

Environmental science and pollution research international Jan 8, 2019
The use of pesticides has been increasing in agriculture, leading to a public health problem. The aim of this study was to evaluate ototoxic effects in farmers who were exposed to cigarette smoke and/or pesticides and to identify possible classificat...
Air Pollutants, Occupational Support Vector Machine Pesticides Smoking Tobacco Smoke Pollution Farmers Hearing Loss Nicotiana Male Brazil Adolescent Occupational Exposure Aged Young Adult Adult Humans Machine Learning Algorithms Female
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A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography.

Clinical cardiology Jan 8, 2019
BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI).
Female Aged Male Risk Assessment Prospective Studies Biomarkers Acute Kidney Injury Predictive Value of Tests Coronary Angiography Coronary Artery Disease Creatinine Incidence ROC Curve Proteomics Humans Contrast Media Artificial Intelligence
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Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.

Sensors (Basel, Switzerland) Jan 8, 2019
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject's motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.g....
Humans Neural Networks, Computer Machine Learning Algorithms Electroencephalography Hand Brain-Computer Interfaces Movement
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A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States.

International journal of environmental research and public health Jan 8, 2019
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB inci...
Cluster Analysis Tuberculosis Spatial Analysis Humans Linear Models Neural Networks, Computer Geographic Information Systems United States
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