AIMC Topic: Nervous System Diseases

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A Review of Robotic Interventional Neuroradiology.

AJNR. American journal of neuroradiology Feb 4, 2021
Robotic interventional neuroradiology is an emerging field with the potential to enhance patient safety, reduce occupational hazards, and expand systems of care. Endovascular robots allow the operator to precisely control guidewires and catheters fro...
Telemedicine Radiography, Interventional Nervous System Diseases Thrombectomy Humans Robotics Stroke
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Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach.

Scientific reports Jan 14, 2021
Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a machine ...
Machine Learning Retrospective Studies Female Hospitalization Humans New York City Neurosciences Natural Language Processing Adult Emergency Service, Hospital Male Nervous System Diseases Triage
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Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass.

Scientific reports Jan 12, 2021
The need for the estimation of the number of microbubbles (MBs) in cardiopulmonary bypass surgery has been recognized among surgeons to avoid postoperative neurological complications. MBs that exceed the diameter of human capillaries may cause endoth...
Cardiovascular Surgical Procedures Blood Viscosity Capillaries Nervous System Diseases Humans Microbubbles Embolism, Air Hemodynamics Neural Networks, Computer Cardiopulmonary Bypass Postoperative Complications
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The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach.

International journal of environmental research and public health Sep 9, 2020
Motor disability is a key feature of many neurological diseases, influencing the social roles of affected patients and their ability to perform daily life activities. Current rehabilitation capacities are overwhelmed by the age-related increase of mo...
Robotics Stroke Nervous System Diseases Aged Male Persons with Disabilities Stroke Rehabilitation Motor Disorders Humans Female
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Mediolateral damping of an overhead body weight support system assists stability during treadmill walking.

Journal of neuroengineering and rehabilitation Aug 10, 2020
BACKGROUND: Body weight support systems with three or more degrees of freedom (3-DoF) are permissive and safe environments that provide unloading and allow unrestricted movement in any direction. This enables training of walking and balance control a...
Robotics Postural Balance Walking Body Weight Nervous System Diseases Biomechanical Phenomena Male Middle Aged Humans Female Adult
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Robotics-assisted visual-motor training influences arm position sense in three-dimensional space.

Journal of neuroengineering and rehabilitation Jul 14, 2020
BACKGROUND: Performing activities of daily living depends, among other factors, on awareness of the position and movements of limbs. Neural injuries, such as stroke, might negatively affect such an awareness and, consequently, lead to degrading the q...
Humans Female Arm Robotics Feedback, Sensory Stroke Rehabilitation Psychomotor Performance Young Adult Hand Nervous System Diseases Proprioception Kinesthesis Adult Activities of Daily Living Male
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Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

Journal of medical systems Jan 4, 2020
This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight different neuropsychiatric and neurological disorders such as stroke, alzheimer, parkinson's, epilepsy, autism, migraine, cerebral palsy, and multipl...
Sensitivity and Specificity Prevalence Deep Learning Image Processing, Computer-Assisted Nervous System Diseases Humans Neural Networks, Computer
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Data-driven analyses of motor impairments in animal models of neurological disorders.

PLoS biology Nov 21, 2019
Behavior provides important insights into neuronal processes. For example, analysis of reaching movements can give a reliable indication of the degree of impairment in neurological disorders such as stroke, Parkinson disease, or Huntington disease. T...
Disease Models, Animal Stroke Nervous System Diseases Male Image Processing, Computer-Assisted Neural Networks, Computer Rats Motor Disorders Animals Forelimb Motor Skills Movement Motor Activity
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Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Current neurology and neuroscience reports Nov 13, 2019
PURPOSE OF REVIEW: Neurocritical care combines the complexity of both medical and surgical disease states with the inherent limitations of assessing patients with neurologic injury. Artificial intelligence (AI) has garnered interest in the basic mana...
Nervous System Diseases Machine Learning Critical Care Disease Management Humans Artificial Intelligence
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Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis.

Resuscitation Jul 27, 2019
BACKGROUND: This study aimed to train, validate and compare predictive models that use machine learning analysis for good neurological recovery in OHCA patients.
Nervous System Diseases Reproducibility of Results Cardiopulmonary Resuscitation Recovery of Function Clinical Decision Rules Humans Heart Diseases Out-of-Hospital Cardiac Arrest Machine Learning Prognosis
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