AIMC Topic: Humans

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Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.

Radiology Mar 26, 2019
Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor proximity to critical structures demands accuracy in tumor delineation to avoid toxicities from radiation therapy; however, tumor target contouring for head and neck...
Algorithms Retrospective Studies Female Humans Adolescent Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Male Nasopharyngeal Carcinoma Middle Aged Nasopharyngeal Neoplasms Deep Learning Nasopharynx Young Adult Adult
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EEG characteristics of children with attention-deficit/hyperactivity disorder.

Neuroscience Mar 26, 2019
The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hyperactivity disorder (ADHD); one main goal is to characterize the EEG of children with ADHD. In this study, we employed the power spectrum, complexity...
Electroencephalography Brain Waves Attention Deficit Disorder with Hyperactivity Female Male Child Humans Machine Learning Brain
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Quality and content analysis of fundus images using deep learning.

Computers in biology and medicine Mar 26, 2019
Automatic retinal image analysis has remained an important topic of research in the last ten years. Various algorithms and methods have been developed for analysing retinal images. The majority of these methods use public retinal image databases for ...
Image Processing, Computer-Assisted Fundus Oculi Female Humans Male Deep Learning Databases, Factual
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Smeared multiscale finite element model for electrophysiology and ionic transport in biological tissue.

Computers in biology and medicine Mar 26, 2019
Basic functions of living organisms are governed by the nervous system through bidirectional signals transmitted from the brain to neural networks. These signals are similar to electrical waves. In electrophysiology the goal is to study the electrica...
Humans Neural Networks, Computer Ion Transport Models, Cardiovascular Computer Simulation Myocardium Animals Finite Element Analysis
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Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals.

Computers in biology and medicine Mar 26, 2019
Sleep is a prominent physiological activity in our daily life. Sleep apnea is the category of sleep disorder during which the breathing of the person diminishes causing the alternation in the upper airway resistance. The electrocardiogram derived res...
Humans Heart Rate Support Vector Machine Respiration Electrocardiography Signal Processing, Computer-Assisted Sleep Apnea Syndromes
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Chief complaint classification with recurrent neural networks.

Journal of biomedical informatics Mar 26, 2019
Syndromic surveillance detects and monitors individual and population health indicators through sources such as emergency department records. Automated classification of these records can improve outbreak detection speed and diagnosis accuracy. Curre...
Humans Neural Networks, Computer Algorithms Population Surveillance Triage
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An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy.

The Journal of international medical research Mar 26, 2019
OBJECTIVE: This study was designed to assess clinical predictors of hypoxemia and develop an artificial neural network (ANN) model for prediction of hypoxemia during sedation for gastrointestinal endoscopy examination.
ROC Curve Treatment Outcome Endoscopy, Gastrointestinal Female Male Middle Aged Hypoxia Anesthesia Humans Neural Networks, Computer
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Characterization of Key Aroma Compounds in a Commercial Rum and an Australian Red Wine by Means of a New Sensomics-Based Expert System (SEBES)-An Approach To Use Artificial Intelligence in Determining Food Odor Codes.

Journal of agricultural and food chemistry Mar 26, 2019
Although to date more than 10 000 volatile compounds have been characterized in foods, a literature survey has previously shown that only 226 aroma compounds, assigned as key food odorants (KFOs), have been identified to actively contribute to the ov...
Wine Odorants Expert Systems Humans Artificial Intelligence Flavoring Agents Volatile Organic Compounds Australia Alcoholic Beverages Smell Olfactometry Chromatography, Gas
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Detection and characterization of MRI breast lesions using deep learning.

Diagnostic and interventional imaging Mar 26, 2019
PURPOSE: The purpose of this study was to assess the potential of a deep learning model to discriminate between benign and malignant breast lesions using magnetic resonance imaging (MRI) and characterize different histological subtypes of breast lesi...
Deep Learning Breast Contrast Media Datasets as Topic Algorithms Magnetic Resonance Imaging Gadolinium Humans Female Breast Neoplasms
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Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes.

Journal of medical systems Mar 26, 2019
In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimensional Phase Space. The computational complexity in higher dimension is reduced by Principal Component Analysis for the High dimensional Phase Space ou...
Electroencephalography Epilepsy Signal Processing, Computer-Assisted Cerebral Cortex Support Vector Machine Principal Component Analysis Bayes Theorem Humans Sensitivity and Specificity
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