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Evaluating the influence of road lighting on traffic safety at accesses using an artificial neural network.

Traffic injury prevention Aug 7, 2018
OBJECTIVES: This article focuses on the effect of road lighting on road safety at accesses to quantitatively analyze the relationship between road lighting and road safety.
Automobile Driving Algorithms Accidents, Traffic Humans Safety Lighting Neural Networks, Computer China Environment Design
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The computerized scoring algorithm for the autobiographical memory test: updates and extensions for analyzing memories of English-speaking adults.

Memory (Hove, England) Aug 6, 2018
The Autobiographical Memory Test (AMT) has been central in psychopathological studies of memory dysfunctions, as reduced memory specificity or overgeneralised autobiographical memory has been recognised as a hallmark vulnerability for depression. In ...
Female Adult Male Machine Learning Algorithms Emotions Cues Memory, Episodic United States Cognition Humans Mental Recall
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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.

IEEE transactions on medical imaging Aug 6, 2018
Accelerating the data acquisition of dynamic magnetic resonance imaging leads to a challenging ill-posed inverse problem, which has received great interest from both the signal processing and machine learning communities over the last decades. The ke...
Magnetic Resonance Imaging Heart Artifacts Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted
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Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.

IEEE transactions on medical imaging Aug 6, 2018
Retinopathy of Prematurity (ROP) is a retinal vasproliferative disorder disease principally observed in infants born prematurely with low birth weight. ROP is an important cause of childhood blindness. Although automatic or semi-automatic diagnosis o...
Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Retinopathy of Prematurity Algorithms Infant, Newborn Humans Neural Networks, Computer
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Development of a Ready-to-Use Graphical Tool Based on Artificial Neural Network Classification: Application for the Prediction of Late Fecal Incontinence After Prostate Cancer Radiation Therapy.

International journal of radiation oncology, biology, physics Aug 6, 2018
PURPOSE: This study was designed to apply artificial neural network (ANN) classification methods for the prediction of late fecal incontinence (LFI) after high-dose prostate cancer radiation therapy and to develop a ready-to-use graphical tool.
Radiation Injuries Fecal Incontinence Prognosis Prostatic Neoplasms Male Time Factors Humans Neural Networks, Computer
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Re: Pediatric Robot-Assisted Redo Pyeloplasty with Buccal Mucosa Graft: A Novel Technique.

The Journal of urology Aug 6, 2018
Ureter Kidney Pelvis Mouth Mucosa Child Robotics Humans
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Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients.

Acta psychiatrica Scandinavica Aug 6, 2018
OBJECTIVE: This study determined the clinical utility of an fMRI classification algorithm predicting medication-class of response in patients with challenging mood diagnoses.
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Magnetic Resonance Imaging Diagnosis, Differential Nerve Net Connectome Adolescent Bipolar Disorder Support Vector Machine Adult Depressive Disorder, Major Female Young Adult Humans
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Label-Free Biomolecule Detection in Physiological Solutions With Enhanced Sensitivity Using Graphene Nanogrids FET Biosensor.

IEEE transactions on nanobioscience Aug 6, 2018
Recently, graphene nanogrid sensor has been reported to be capable of sub-femtomolar sensing of Hepatitis B (Hep-B) surface antigen in buffer. However, for such low concentration of Hep-B in serum, it has been observed during real-time operation that...
Hepatitis B Surface Antigens Graphite Equipment Design Signal Processing, Computer-Assisted Biosensing Techniques Humans Limit of Detection Neural Networks, Computer Models, Chemical
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Who Owns My Autonomous Vehicle? Ethics and Responsibility in Artificial and Human Intelligence.

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees Aug 6, 2018
This article investigates both the claims made for, and the dangers or opportunities posed by, the development of (allegedly), aspiring or "would-be" autonomous vehicles and other artificially superintelligent machines. It also examines the dilemmas ...
Moral Obligations Ownership Bioethical Issues Artificial Intelligence Intelligence Humans
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Trie-based rule processing for clinical NLP: A use-case study of n-trie, making the ConText algorithm more efficient and scalable.

Journal of biomedical informatics Aug 6, 2018
OBJECTIVE: To develop and evaluate an efficient Trie structure for large-scale, rule-based clinical natural language processing (NLP), which we call n-trie.
Machine Learning Algorithms Computational Biology Natural Language Processing Databases, Factual Humans
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