Humans

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Hand Passive Mobilization Performed with Robotic Assistance: Acute Effects on Upper Limb Perfusion and Spasticity in Stroke Survivors.

BioMed research international Sep 28, 2017
This single arm pre-post study aimed at evaluating the acute effects induced by a single session of robot-assisted passive hand mobilization on local perfusion and upper limb (UL) function in poststroke hemiparetic participants. Twenty-three patients...
Muscle Spasticity Treatment Outcome Muscle, Skeletal Recovery of Function Upper Extremity Stroke Rehabilitation Robotics Stroke Adult Male Middle Aged Humans Female Aged
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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals.

Computers in biology and medicine Sep 27, 2017
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy. The EEG signal contains information about the electrical activity of the brain. Traditionally, neurologists employ direct visual inspection to identify epi...
(3)
Machine Learning Female Male Diagnosis, Computer-Assisted Humans Neural Networks, Computer Signal Processing, Computer-Assisted Electroencephalography Epilepsy Seizures
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Deep learning guided stroke management: a review of clinical applications.

Journal of neurointerventional surgery Sep 27, 2017
Stroke is a leading cause of long-term disability, and outcome is directly related to timely intervention. Not all patients benefit from rapid intervention, however. Thus a significant amount of attention has been paid to using neuroimaging to assess...
(3)
Neuroimaging Neural Networks, Computer Machine Learning Humans Stroke Disease Management
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Re: Robot-assisted Salvage Lymph Node Dissection for Clinically Recurrent Prostate Cancer.

European urology Sep 27, 2017
Lymph Node Excision Robotics Prostatic Neoplasms Prostatectomy Neoplasm Recurrence, Local Salvage Therapy Humans Male Lymph Nodes
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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

IEEE transactions on medical imaging Sep 27, 2017
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures of the LdCT ...
(1)
Radiation Dosage Phantoms, Imaging Imaging, Three-Dimensional Lung Neoplasms Principal Component Analysis Radiographic Image Interpretation, Computer-Assisted Databases, Factual Tomography, X-Ray Computed Lung Machine Learning Algorithms Humans
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Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain.

Artificial intelligence in medicine Sep 27, 2017
OBJECTIVES: To examine the feasibility of the automated creation of meaningful free-text summaries of longitudinal clinical records, using a new general methodology that we had recently developed; and to assess the potential benefits to the clinical ...
Patient Discharge Summaries Continuity of Patient Care Natural Language Processing Tertiary Care Centers Feasibility Studies Medical Informatics Automation Knowledge Bases Critical Care Retrospective Studies Length of Stay Intensive Care Units Time Factors Electronic Health Records Health Status Humans
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Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Medical & biological engineering & computing Sep 26, 2017
Precise segmentation of stroke lesions from brain magnetic resonance (MR) images poses a challenging task in automated diagnosis. In this paper, we proposed a new method called watershed-based lesion segmentation algorithm (WLSA), which is a novel in...
(1)
Image Interpretation, Computer-Assisted Female Reproducibility of Results Male Fuzzy Logic ROC Curve Stroke Magnetic Resonance Imaging Brain Ischemia Middle Aged Time Factors Humans Algorithms Brain
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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.

IEEE transactions on medical imaging Sep 26, 2017
Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted and contain artefacts due to limitations in image acqu...
Humans Databases, Factual Imaging, Three-Dimensional Neural Networks, Computer Algorithms Cardiac Imaging Techniques Magnetic Resonance Imaging Heart Cardiomyopathies
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Artificial neural network coding of the child attachment interview using linguistic data.

Attachment & human development Sep 26, 2017
Assessing attachment in adolescents is important due to relations between insecurity and psychopathology. The child attachment interview (CAI) holds promise in this regard, but is time-consuming to code, which may render it inaccessible. The aim of t...
Female Reproducibility of Results Male Adolescent Humans Neural Networks, Computer Child Object Attachment Mother-Child Relations Interview, Psychological
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Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

European journal of nuclear medicine and molecular imaging Sep 26, 2017
PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable.
Humans Neural Networks, Computer Female Image Processing, Computer-Assisted Japan Statistics as Topic Myocardial Perfusion Imaging Aged Male ROC Curve
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