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Toward a standard ontology of surgical process models.

International journal of computer assisted radiology and surgery Jul 13, 2018
PURPOSE: The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing o...
Models, Anatomic Biological Ontologies Humans Pattern Recognition, Automated Europe International Cooperation Minimally Invasive Surgical Procedures
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Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks.

Artificial organs Jul 13, 2018
Electromyogram (EMG) signal decoding is the essential part of myoelectric control. However, traditional machine learning methods lack the capability of learning and expressing the information contained in EMG signals, and the robustness of the myoele...
Transfer, Psychology Adult Male Deep Learning Support Vector Machine Muscle, Skeletal Electromyography Neural Networks, Computer Algorithms Female Humans
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Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 13, 2018
Primates, including humans, can typically recognize objects in visual images at a glance despite naturally occurring identity-preserving image transformations (e.g., changes in viewpoint). A primary neuroscience goal is to uncover neuron-level mechan...
(2)
Pattern Recognition, Visual Recognition, Psychology Psychophysics Discrimination, Psychological Models, Neurological Species Specificity Macaca mulatta Humans Neural Networks, Computer Animals Male
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Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning.

Scientific reports Jul 13, 2018
Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (NT2), but only NT1 is accepted as clearly defined entity. Both types of narcolepsies belong to the group of central hypersomnias (CH), a spectrum of p...
Models, Biological Supervised Machine Learning Datasets as Topic Humans Female Stochastic Processes Polysomnography Databases, Factual Male Sleep Latency Young Adult Rare Diseases Sleep, REM ROC Curve Adult Narcolepsy Data Interpretation, Statistical
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Effective automated pipeline for 3D reconstruction of synapses based on deep learning.

BMC bioinformatics Jul 13, 2018
BACKGROUND: The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic c...
Humans Deep Learning Imaging, Three-Dimensional Synapses
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Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking.

Journal of neuroengineering and rehabilitation Jul 13, 2018
BACKGROUND: Soft exosuits are a recent approach for assisting human locomotion, which apply assistive torques to the wearer through functional apparel. Over the past few years, there has been growing recognition of the importance of control individua...
Biomechanical Phenomena Male Robotics Walking Humans Adult Exoskeleton Device Gait Energy Metabolism Ankle Joint
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Will artificial intelligence solve the human resource crisis in healthcare?

BMC health services research Jul 13, 2018
Artificial intelligence (AI) has the potential to ease the human resources crisis in healthcare by facilitating diagnostics, decision-making, big data analytics and administration, among others. For this we must first tackle the technological, ethica...
Physicians Education, Medical Humans Deep Learning Biomedical Technology Artificial Intelligence Curriculum Health Workforce
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miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts.

PLoS computational biology Jul 13, 2018
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to partially complementary regions within the 3'UTR of their target genes. Computational methods play an important role in target prediction and assume that the miR...
(2)
Deep Learning Gene Targeting RNA, Messenger 3' Untranslated Regions MicroRNAs Neural Networks, Computer Humans Computer Simulation Binding Sites Reproducibility of Results Datasets as Topic Thermodynamics Gene Expression Regulation
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A novel fused convolutional neural network for biomedical image classification.

Medical & biological engineering & computing Jul 12, 2018
With the advent of biomedical imaging technology, the number of captured and stored biomedical images is rapidly increasing day by day in hospitals, imaging laboratories and biomedical institutions. Therefore, more robust biomedical image analysis te...
Algorithms Deep Learning Diagnostic Imaging Humans Neural Networks, Computer Image Interpretation, Computer-Assisted
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Estimating the Temperature of Heat-exposed Bone via Machine Learning Analysis of SCI Color Values: A Pilot Study.

Journal of forensic sciences Jul 12, 2018
Determining maximum heating temperatures of burnt bones is a long-standing problem in forensic science and archaeology. In this pilot study, controlled experiments were used to heat 14 fleshed and defleshed pig vertebrae (wet bones) and archaeologica...
Animals Swine Pilot Projects Spine Humans Trace Elements Linear Models Hot Temperature Machine Learning Discriminant Analysis Spectrophotometry Algorithms Color
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