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Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Male Middle Aged Risk Assessment Severity of Illness Index Female Aged Survival Rate Equipment Design Surgery, Computer-Assisted Patient Selection Heart Conduction System Treatment Outcome Follow-Up Studies Robotics Humans Prospective Studies Statistics, Nonparametric Reference Values Tricuspid Valve Cardiac Catheters Catheter Ablation Atrial Flutter Recurrence
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Scoping review on the use of socially assistive robot technology in elderly care.

BMJ open Feb 12, 2018
OBJECTIVE: With an elderly population that is set to more than double by 2050 worldwide, there will be an increased demand for elderly care. This poses several impediments in the delivery of high-quality health and social care. Socially assistive rob...
Interpersonal Relations Humans Aged Aging Quality of Life Randomized Controlled Trials as Topic Robotics Quality of Health Care
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Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature.

Sensors (Basel, Switzerland) Feb 12, 2018
Robot-assisted surgery is of growing interest in the surgical and engineering communities. The use of robots allows surgery to be performed with precision using smaller instruments and incisions, resulting in shorter healing times. However, using cur...
Surveys and Questionnaires Robotics Needles Mechanical Phenomena Humans Feedback
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Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models.

Computational intelligence and neuroscience Feb 12, 2018
Human detection in videos plays an important role in various real life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Moreover, they are highly suscept...
Pattern Recognition, Automated Time Factors Humans Image Processing, Computer-Assisted Neural Networks, Computer Motor Activity Motion Machine Learning Video Recording
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Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

International journal of chronic obstructive pulmonary disease Feb 12, 2018
INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical condition that combines features of those two diseases, and that is difficult to define due to the lack of understanding of the underlying mechanisms. D...
Interleukin-13 Interleukin-5 Th2 Cells Inflammation Mediators Cell Adhesion Molecules Spain Vital Capacity Interleukin-8 Discriminant Analysis Forced Expiratory Volume Prognosis Male Female Humans Pulmonary Disease, Chronic Obstructive Middle Aged Aged Tumor Necrosis Factor-alpha Neural Networks, Computer Asthma Lung Adult Interleukin-6 Cross-Sectional Studies Interleukin-17 Biomarkers
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A Pruning Neural Network Model in Credit Classification Analysis.

Computational intelligence and neuroscience Feb 11, 2018
Nowadays, credit classification models are widely applied because they can help financial decision-makers to handle credit classification issues. Among them, artificial neural networks (ANNs) have been widely accepted as the convincing methods in the...
Neural Networks, Computer Humans Algorithms
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Ascertainment of asthma prognosis using natural language processing from electronic medical records.

The Journal of allergy and clinical immunology Feb 10, 2018
NLP algorithm successfully determined asthma prognosis (i.e., no remission, long-term remission, and intermittent remission) by taking into account asthma symptoms documented in EMR, and addressed the limitations of billing code- based asthma outcome...
(4)
Humans Prognosis Electronic Health Records Asthma Natural Language Processing
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Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

IEEE transactions on medical imaging Feb 9, 2018
Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a timesaving and reliable tool for cardiovascular risk assessment. We propose a ne...
(2)
Humans Tomography, X-Ray Computed Female Aged Image Processing, Computer-Assisted Adipose Tissue Male Thorax Middle Aged Pericardium Deep Learning
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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Journal of cancer research and clinical oncology Feb 9, 2018
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores.
(1)
Middle Aged Cohort Studies Magnetic Resonance Imaging Neoplasm Recurrence, Local Aged, 80 and over Adult Breast Neoplasms Multivariate Analysis Humans Machine Learning Algorithms Prognosis Female Risk Factors Aged
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A review of machine learning in obesity.

Obesity reviews : an official journal of the International Association for the Study of Obesity Feb 9, 2018
Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical health records and insurance data can bring new insights for understanding, preventing and treating obesity. For such large datasets, machine learning prov...
Algorithms Logistic Models Nutrition Surveys Obesity Humans Neural Networks, Computer Machine Learning
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