AIMC Topic: Deep Learning

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Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

Progress in cardiovascular diseases Mar 19, 2020
There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning and deep learning approaches in cardiovascular (CV) medicine. In the era of modern medicine, AI and electronic health records hold the promise to improve...
Predictive Value of Tests Image Interpretation, Computer-Assisted Machine Learning Reproducibility of Results Cardiovascular Diseases Support Vector Machine Multimodal Imaging Diagnosis, Computer-Assisted Deep Learning Humans
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Deep learning approaches for sleep disorder prediction in an asthma cohort.

The Journal of asthma : official journal of the Association for the Care of Asthma Mar 18, 2020
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined 1 million samples included in the Taiwan National Health Insurance ...
DNA-Binding Proteins Sleep Wake Disorders Infant Deep Learning Adolescent Nerve Tissue Proteins Predictive Value of Tests Child, Preschool Child Asthma Male Middle Aged Humans Female Artificial Intelligence Young Adult Adult
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Prediction of admission in pediatric emergency department with deep neural networks and triage textual data.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2020
Emergency department (ED) overcrowding is a global condition that severely worsens attention to patients, increases clinical risks and affects hospital cost management. A correct and early prediction of ED's admission is of high value and a motivatio...
Neural Networks, Computer Forecasting Databases, Factual Humans Infant Deep Learning Cohort Studies Child, Preschool Female Hospitalization Male Pediatrics Patient Admission Child Triage Emergency Service, Hospital
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The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise.

Neural computation Mar 18, 2020
Multilayer neural networks have led to remarkable performance on many kinds of benchmark tasks in text, speech, and image processing. Nonlinear parameter estimation in hierarchical models is known to be subject to overfitting and misspecification. On...
Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Bayes Theorem Algorithms
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A Survey on Deep Learning for Multimodal Data Fusion.

Neural computation Mar 18, 2020
With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated. These data, referred to multimodal big data, contain abundant intermodality a...
Neural Networks, Computer Deep Learning Artificial Intelligence Surveys and Questionnaires Algorithms
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Table Cleaning Task by Human Support Robot Using Deep Learning Technique.

Sensors (Basel, Switzerland) Mar 18, 2020
This work presents a table cleaning and inspection method using a Human Support Robot (HSR) which can operate in a typical food court setting. The HSR is able to perform a cleanliness inspection and also clean the food litter on the table by implemen...
Limit of Detection Deep Learning Interior Design and Furnishings Humans Image Processing, Computer-Assisted Workload Sanitation Neural Networks, Computer Robotics Food Self-Help Devices Algorithms
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A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.

BMC medical informatics and decision making Mar 18, 2020
BACKGROUND: The key to modern drug discovery is to find, identify and prepare drug molecular targets. However, due to the influence of throughput, precision and cost, traditional experimental methods are difficult to be widely used to infer these pot...
Neural Networks, Computer Deep Learning Humans Pharmaceutical Preparations Drug Development Proteins Principal Component Analysis
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Hierarchical Analysis of Factors Associated with T Staging of Gastric Cancer by Endoscopic Ultrasound.

Digestive diseases and sciences Mar 17, 2020
BACKGROUND: Size, ulcer, differentiation, and location are known to be factors affecting the T stage accuracy of EUS in gastric cancer. However, whether an interaction exists among recognized variables is poorly understood. The aim of this study was ...
Early Detection of Cancer Decision Trees Neoplasm Staging Humans Endosonography Retrospective Studies Male Middle Aged Deep Learning Female Aged Stomach Neoplasms
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Deep Learning-Based Risk Model for Best Management of Closed Groin Incisions After Vascular Surgery.

The Journal of surgical research Mar 17, 2020
BACKGROUND: Reduced surgical site infection (SSI) rates have been reported with use of closed incision negative pressure therapy (ciNPT) in high-risk patients.
Decision Support Techniques Retrospective Studies Female Aged Humans Deep Learning Vascular Surgical Procedures Negative-Pressure Wound Therapy Groin Male Middle Aged Risk Assessment
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Creation and Testing of a Deep Learning Algorithm to Automatically Identify and Label Vessels, Nerves, Tendons, and Bones on Cross-sectional Point-of-Care Ultrasound Scans for Peripheral Intravenous Catheter Placement by Novices.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Mar 17, 2020
OBJECTIVES: We sought to create a deep learning (DL) algorithm to identify vessels, bones, nerves, and tendons on transverse upper extremity (UE) ultrasound (US) images to enable providers new to US-guided peripheral vascular access to identify anato...
Cross-Sectional Studies Point-of-Care Systems Deep Learning Catheters Tendons Humans Algorithms
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