AIMC Topic: Humans

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Pulmonary nodule detection in CT scans with equivariant CNNs.

Medical image analysis Mar 28, 2019
Convolutional Neural Networks (CNNs) require a large amount of annotated data to learn from, which is often difficult to obtain for medical imaging problems. In this work we show that the sample complexity of CNNs can be significantly improved by usi...
Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis.

International journal of nursing studies Mar 28, 2019
OBJECTIVE: To identify the rehabilitative effects of robot-assisted therapy on balance function among stroke patients.
Physical Therapy Modalities Humans Postural Balance Stroke Rehabilitation China Stroke Robotics Activities of Daily Living
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iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule.

Analytical biochemistry Mar 28, 2019
Motor proteins are the driving force behind muscle contraction and are responsible for the active transportation of most proteins and vesicles in the cytoplasm. There are three superfamilies of cytoskeletal motor proteins with various molecular funct...
Humans Neural Networks, Computer Machine Learning Algorithms Cytoskeletal Proteins Molecular Motor Proteins
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Machine Learning and Other Emerging Decision Support Tools.

Clinics in laboratory medicine Mar 28, 2019
Emerging applications of machine learning and artificial intelligence offer the opportunity to discover new clinical knowledge through secondary exploration of existing patient medical records. This new knowledge may in turn offer a foundation to bui...
Clinical Laboratory Information Systems Humans Machine Learning Decision Support Systems, Clinical
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Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Time Factors ROC Curve Canada Male Middle Aged Female Severity of Illness Index Aged Risk Factors Patient Readmission Humans Aged, 80 and over Hospitalization Survival Analysis Machine Learning Age Factors Pulmonary Disease, Chronic Obstructive Proportional Hazards Models Prognosis Biomarkers Predictive Value of Tests Retrospective Studies Sex Factors Electronic Health Records
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Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 28, 2019
Neural representations span various spatiotemporal scales of brain activity, from the spiking activity of single neurons to field activity measuring large-scale networks. The simultaneous analyses of spikes and fields to uncover causal interactions i...
Linear Models Evoked Potentials Biophysics Reproducibility of Results Causality Models, Neurological Humans Neural Networks, Computer Algorithms Brain
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Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution.

Medical physics Mar 28, 2019
PURPOSE: Lung nodules that are missed by radiologists as well as by computer-aided detection (CAD) systems mostly overlap with ribs and clavicles. Removing the bony structures would result in better visualization of undetectable lesions. Our purpose ...
Image Processing, Computer-Assisted Humans Radiography, Thoracic Neural Networks, Computer Organ Specificity Clavicle Ribs
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Dissecting the Catecholamines: How New Approaches Will Facilitate the Distinction between Noradrenergic and Dopaminergic Systems.

ACS chemical neuroscience Mar 28, 2019
To overcome the limitations of fast scan cyclic voltammetry (FSCV) to discriminate between catecholamines, we discuss new approaches to monitor the dynamics of these neurochemicals with high spatial, genetic, and temporal specificity.
Norepinephrine Dopamine Optogenetics Animals Electrochemical Techniques Catecholamines Humans Machine Learning
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Artificial intelligence to diagnose meniscus tears on MRI.

Diagnostic and interventional imaging Mar 28, 2019
PURPOSE: The purpose of this study was to build and evaluate a high-performance algorithm to detect and characterize the presence of a meniscus tear on magnetic resonance imaging examination (MRI) of the knee.
Magnetic Resonance Imaging Datasets as Topic Tibial Meniscus Injuries Humans Neural Networks, Computer Algorithms
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Selene: a PyTorch-based deep learning library for sequence data.

Nature methods Mar 28, 2019
To enable the application of deep learning in biology, we present Selene (https://selene.flatironinstitute.org/), a PyTorch-based deep learning library for fast and easy development, training, and application of deep learning model architectures for ...
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Algorithms Deep Learning Genomics Humans Neural Networks, Computer Software Programming Languages Mutagenesis Normal Distribution Gene Library Area Under Curve Mutation Alzheimer Disease Computational Biology Sequence Analysis, DNA Models, Statistical
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