AIMC Topic: Brain Injuries, Traumatic

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Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification.

IEEE transactions on bio-medical engineering Oct 19, 2021
OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neurological conditions by extracting information that is difficult to identify manually. In this study, we evaluated the performance of commonly used sup...
Support Vector Machine Brain Injuries, Traumatic Discriminant Analysis Electroencephalography Humans Machine Learning Algorithms
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Development and Application of Medicine-Engineering Integration in the Rehabilitation of Traumatic Brain Injury.

BioMed research international Jun 12, 2021
The rapid progress of the combination of medicine and engineering provides better chances for the clinical treatment and healthcare engineering. Traumatic brain injury (TBI) and its related symptoms have become a major global health problem. At prese...
Biomedical Engineering Rehabilitation Brain Injuries, Traumatic Robotics Telemedicine Deep Brain Stimulation Brain-Computer Interfaces Transcranial Magnetic Stimulation Software Wearable Electronic Devices Virtual Reality Humans Artificial Intelligence
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Phenotyping the Spectrum of Traumatic Brain Injury: A Review and Pathway to Standardization.

Journal of neurotrauma Jun 10, 2021
It is widely appreciated that the spectrum of traumatic brain injury (TBI), mild through severe, contains distinct clinical presentations, variably referred to as subtypes, phenotypes, and/or clinical profiles. As part of the Brain Trauma Blueprint T...
Phenotype Brain Injuries, Traumatic Reference Standards Humans Machine Learning
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Ketofol as an Anesthetic Agent in Patients With Isolated Moderate to Severe Traumatic Brain Injury: A Prospective, Randomized Double-blind Controlled Trial.

Journal of neurosurgical anesthesiology May 13, 2021
BACKGROUND: The effects of ketofol (propofol and ketamine admixture) on systemic hemodynamics and outcomes in patients undergoing emergency decompressive craniectomy for traumatic brain injury (TBI) are unknown and explored in this study.
Vasoconstrictor Agents Brain Injuries, Traumatic Humans Ketamine Anesthetics, Intravenous Prospective Studies Glial Fibrillary Acidic Protein Propofol
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DeepACSON automated segmentation of white matter in 3D electron microscopy.

Communications biology Feb 10, 2021
Tracing the entirety of ultrastructures in large three-dimensional electron microscopy (3D-EM) images of the brain tissue requires automated segmentation techniques. Current segmentation techniques use deep convolutional neural networks (DCNNs) and r...
Artificial Intelligence Reproducibility of Results Animals Nerve Fibers, Myelinated Predictive Value of Tests Brain Injuries, Traumatic Mitochondria Rats, Sprague-Dawley Male Image Interpretation, Computer-Assisted Disease Models, Animal Imaging, Three-Dimensional Cell Nucleus Rats Microscopy, Electron White Matter
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Use of Machine Learning to Re-Assess Patterns of Multivariate Functional Recovery after Fluid Percussion Injury: Operation Brain Trauma Therapy.

Journal of neurotrauma Jan 13, 2021
Traumatic brain injury (TBI) is a leading cause of death and disability. Yet, despite immense research efforts, treatment options remain elusive. Translational failures in TBI are often attributed to the heterogeneity of the TBI population and limite...
Animals Rats Brain Injuries, Traumatic Machine Learning Datasets as Topic Disease Models, Animal Recovery of Function Translational Research, Biomedical
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Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda.

Journal of neurotrauma Dec 14, 2020
Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In these low-resource settings, effective triage of patients with TBI-including the decision of whether or not to perform neurosurgery-is critical in op...
Humans Glasgow Coma Scale Machine Learning Adolescent Child Male Uganda Predictive Value of Tests Middle Aged Female Neurosurgical Procedures Health Resources Young Adult Treatment Outcome Adult Brain Injuries, Traumatic
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Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).
Treatment Outcome Brain Injuries, Traumatic Models, Statistical Injury Severity Score Respiration, Artificial Cohort Studies Hospital Mortality Retrospective Studies Adult Middle Aged Humans Forecasting Machine Learning Prognosis
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Sensor Fusion in Assistive and Rehabilitation Robotics.

Sensors (Basel, Switzerland) Sep 14, 2020
As the world's population gradually grows older, more and more adults are experiencing sensory-motor disabilities due to stroke, traumatic brain injury, spinal cord injury and other diseases [...].
Stroke Humans Adult Spinal Cord Injuries Brain Injuries, Traumatic Stroke Rehabilitation Robotics
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Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM.

Sensors (Basel, Switzerland) Sep 14, 2020
Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact due to an accident or fall and is one of the most frequently submitted insurance claims. However, it is often always misused when individuals attempt an...
Humans Magnetic Resonance Imaging Tomography, X-Ray Computed Brain Injuries, Traumatic Support Vector Machine Electroencephalography
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