AIMC Topic: Nervous System Diseases

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Annotated dataset for training deep learning models to detect astrocytes in human brain tissue.

Scientific data Jan 19, 2024
Astrocytes, a type of glial cell, significantly influence neuronal function, with variations in morphology and density linked to neurological disorders. Traditional methods for their accurate detection and density measurement are laborious and unsuit...
Humans Brain Deep Learning Nervous System Diseases Neuroglia Astrocytes
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Research on a New Rehabilitation Robot for Balance Disorders.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 16, 2023
The treatment of patients with balance disorders is an urgent problem to be solved by the medical community. The causes of balance disorders are diverse. An aging population, traffic accidents, stroke, genetic diseases and so on are all possible fact...
Stroke Rehabilitation Nervous System Diseases Movement Humans Robotics Exercise Therapy Aged Lower Extremity
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Clustering trunk movements of children and adolescents with neurological gait disorders undergoing robot-assisted gait therapy: the functional ability determines if actuated pelvis movements are clinically useful.

Journal of neuroengineering and rehabilitation Jun 3, 2023
INTRODUCTION: Robot-assisted gait therapy is frequently used for gait therapy in children and adolescents but has been shown to limit the physiological excursions of the trunk and pelvis. Actuated pelvis movements might support more physiological tru...
Biomechanical Phenomena Adolescent Child Humans Nervous System Diseases Movement Walking Gait Robotics Pelvis
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Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges.

Archives of pharmacal research Jun 1, 2023
The relevant study of transcriptome-wide variations and neurological disorders in the evolved field of genomic data science is on the rise. Deep learning has been highlighted utilizing algorithms on massive amounts of data in a human-like manner, and...
Nervous System Diseases Humans Transcriptome Deep Learning Mutation
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Multi-Modal Deep Learning Diagnosis of Parkinson's Disease-A Systematic Review.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 25, 2023
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches that employ artificial intelligence and notably deep learning, have been extensively embraced with promising outcomes. This study dispenses an exhaustive review be...
Artificial Intelligence Machine Learning Deep Learning Parkinson Disease Humans Nervous System Diseases
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Advanced Temporally-Spatially Precise Technologies for On-Demand Neurological Disorder Intervention.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 16, 2023
Temporal-spatial precision has attracted increasing attention for the clinical intervention of neurological disorders (NDs) to mitigate adverse effects of traditional treatments and achieve point-of-care medicine. Inspiring steps forward in this fiel...
Artificial Intelligence Nervous System Diseases Humans Bioengineering
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Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders-A Scoping Review.

Sensors (Basel, Switzerland) Mar 13, 2023
Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and decision-making capabilities similar to that of the human brain. Neuroscien...
Nervous System Diseases Artificial Intelligence Algorithms Animals Intelligence Humans Neural Networks, Computer
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Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 6, 2023
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...
Ossification of Posterior Longitudinal Ligament Longitudinal Ligaments Postoperative Complications Deep Learning Prospective Studies Humans Cervical Vertebrae Retrospective Studies Nervous System Diseases Treatment Outcome
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Deep learning for rare disease: A scoping review.

Journal of biomedical informatics Oct 17, 2022
Although individually rare, collectively more than 7,000 rare diseases affect about 10% of patients. Each of the rare diseases impacts the quality of life for patients and their families, and incurs significant societal costs. The low prevalence of e...
Rare Diseases Humans Deep Learning Neural Networks, Computer Nervous System Diseases Quality of Life
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Application of Video-Based Deep Learning for Early Diagnosis of Neurological Disorders.

JAMA network open Jul 1, 2022
Nervous System Diseases Humans Neural Networks, Computer Deep Learning Early Diagnosis
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