Humans

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Reimagining Clinical Documentation With Artificial Intelligence.

Mayo Clinic proceedings Apr 7, 2018
Humans Artificial Intelligence Electronic Health Records Natural Language Processing Patient-Centered Care Attitude of Health Personnel United States Practice Patterns, Physicians'
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Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment.

Public health nutrition Apr 6, 2018
OBJECTIVE: The present study tested the combination of an established and a validated food-choice research method (the 'fake food buffet') with a new food-matching technology to automate the data collection and analysis.
Humans Image Processing, Computer-Assisted Natural Language Processing Food Preferences Algorithms Diet Records Nutrition Assessment Deep Learning
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KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images.

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: To demonstrate accurate MR image reconstruction from undersampled k-space data using cross-domain convolutional neural networks (CNNs) METHODS: Cross-domain CNNs consist of 3 components: (1) a deep CNN operating on the k-space (KCNN), (2) a ...
(1)
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Signal-To-Noise Ratio Algorithms Databases, Factual Brain
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MR fingerprinting Deep RecOnstruction NEtwork (DRONE).

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods.
Algorithms Brain Computer Simulation Reproducibility of Results Humans Neural Networks, Computer Neuroimaging Signal-To-Noise Ratio Monte Carlo Method Phantoms, Imaging Normal Distribution Image Processing, Computer-Assisted Magnetic Resonance Imaging Healthy Volunteers Adult Models, Theoretical Male Deep Learning
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A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Medical image analysis Apr 6, 2018
Heart motion tracking for radiation therapy treatment planning can result in effective motion management strategies to minimize radiation-induced cardiotoxicity. However, automatic heart motion tracking is challenging due to factors that include the ...
Motion Markov Chains Radiation Injuries Humans Radiotherapy, Image-Guided Image Processing, Computer-Assisted Neural Networks, Computer Head and Neck Neoplasms Magnetic Resonance Imaging, Cine Algorithms Heart
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Spiking neural networks for handwritten digit recognition-Supervised learning and network optimization.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2018
We demonstrate supervised learning in Spiking Neural Networks (SNNs) for the problem of handwritten digit recognition using the spike triggered Normalized Approximate Descent (NormAD) algorithm. Our network that employs neurons operating at sparse bi...
Algorithms Pattern Recognition, Automated Humans Handwriting Supervised Machine Learning Databases, Factual Neural Networks, Computer Memory Learning Neurons
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A Semi-passive Planar Manipulandum for Upper-Extremity Rehabilitation.

Annals of biomedical engineering Apr 6, 2018
Robotic rehabilitation is a promising approach to treat individuals with neurological or orthopedic disorders. However, despite significant advancements in the field of rehabilitation robotics, this technology has found limited traction in clinical p...
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Robotics Models, Biological Musculoskeletal Diseases Nervous System Diseases Humans Upper Extremity
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Psychosocial factors associated with intended use of automated vehicles: A simulated driving study.

Accident; analysis and prevention Apr 6, 2018
This study applied the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to assess drivers' intended use of automated vehicles (AVs) after undertaking a simulated driving task. In addition, this study explored the potential f...
Attitude Male Motor Vehicles Trust Psychological Theory Middle Aged Automobile Driving Technology Automation Female Humans Computer Simulation Surveys and Questionnaires Artificial Intelligence Intention Adult
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Creation of knowledge-based planning models intended for large scale distribution: Minimizing the effect of outlier plans.

Journal of applied clinical medical physics Apr 6, 2018
Knowledge-based planning (KBP) can be used to estimate dose-volume histograms (DVHs) of organs at risk (OAR) using models. The task of model creation, however, can result in estimates with differing accuracy; particularly when outlier plans are not p...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organ Sparing Treatments Knowledge Bases Organs at Risk Quality Control Male Humans Head and Neck Neoplasms Retrospective Studies Prostatic Neoplasms Models, Biological
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Too Much of a Good Thing: How Novelty Biases and Vocabulary Influence Known and Novel Referent Selection in 18-Month-Old Children and Associative Learning Models.

Cognitive science Apr 6, 2018
Identifying the referent of novel words is a complex process that young children do with relative ease. When given multiple objects along with a novel word, children select the most novel item, sometimes retaining the word-referent link. Prior work i...
Language Development Recognition, Psychology Male Infant Bias Vocabulary Humans Verbal Learning Computer Simulation Knowledge Bases Female Attention
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