AIMC Topic: Brain Injuries, Traumatic

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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...
Machine Learning Phenotype Brain Injuries, Traumatic Reference Standards Humans
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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 Anesthetics, Intravenous Ketamine 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 Mitochondria Animals Image Interpretation, Computer-Assisted Rats Cell Nucleus Brain Injuries, Traumatic Microscopy, Electron Male White Matter Imaging, Three-Dimensional Nerve Fibers, Myelinated Rats, Sprague-Dawley Disease Models, Animal Predictive Value of Tests
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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...
Machine Learning Animals Recovery of Function Rats Translational Research, Biomedical Brain Injuries, Traumatic Datasets as Topic Disease Models, Animal
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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...
Adolescent Child Uganda Male Middle Aged Health Resources Neurosurgical Procedures Glasgow Coma Scale Treatment Outcome Brain Injuries, Traumatic Predictive Value of Tests Humans Young Adult Adult Machine Learning Female
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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).
Models, Statistical Injury Severity Score Hospital Mortality Treatment Outcome Brain Injuries, Traumatic Middle Aged Respiration, Artificial Cohort Studies Humans Machine Learning Retrospective Studies Adult Forecasting 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 [...].
Humans Adult Stroke Spinal Cord Injuries Brain Injuries, Traumatic Robotics Stroke Rehabilitation
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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...
Electroencephalography Support Vector Machine Humans Magnetic Resonance Imaging Tomography, X-Ray Computed Brain Injuries, Traumatic
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Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach.

PloS one Jul 8, 2020
OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged mechanical ventilation (PMV) for patients with Traumatic Brain Injury (TBI).
Logistic Models Adult Treatment Outcome Registries Humans Brain Injuries, Traumatic Male Female Models, Biological Respiration, Artificial Machine Learning Young Adult Prognosis
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Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach.

Scandinavian journal of trauma, resuscitation and emergency medicine May 27, 2020
BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. Several studies prove that the machine learning predictive techniques outperform the classical multivariate techniques. We aim...
Multivariate Analysis Brain Injuries, Traumatic Area Under Curve Registries Male Middle Aged Hospital Mortality Machine Learning Humans Adult Female Sensitivity and Specificity
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