AIMC Topic: Brain Injuries, Traumatic

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Development and External Validation of a Machine Learning Model for the Early Prediction of Doses of Harmful Intracranial Pressure in Patients with Severe Traumatic Brain Injury.

Journal of neurotrauma Sep 13, 2022
Treatment and prevention of elevated intracranial pressure (ICP) is crucial in patients with severe traumatic brain injury (TBI). Elevated ICP is associated with secondary brain injury, and both intensity and duration of an episode of intracranial hy...
Computer Simulation Adult Brain Injuries, Traumatic Humans Machine Learning Monitoring, Physiologic Arterial Pressure Clinical Decision Rules Intracranial Hypertension Brain Injuries Intracranial Pressure
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An interpretable neural network for outcome prediction in traumatic brain injury.

BMC medical informatics and decision making Aug 1, 2022
BACKGROUND: Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term complications, the prediction of which remains challenging. Machine learning (ML) methods have been used previously to help physicians predict long-term ...
Neural Networks, Computer Machine Learning ROC Curve Brain Injuries, Traumatic Prognosis Humans
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Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.

Scientific reports Jul 21, 2022
The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage prediction model in the decisions of emergency physicians regarding ordering head computed tomography (CT) scans. We developed a deep-learning model for pred...
Tomography, X-Ray Computed Deep Learning Child Humans Craniocerebral Trauma Intracranial Hemorrhage, Traumatic Brain Injuries, Traumatic Emergency Service, Hospital
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Deep learning for behaviour classification in a preclinical brain injury model.

PloS one Jun 15, 2022
The early detection of traumatic brain injuries can directly impact the prognosis and survival of patients. Preceding attempts to automate the detection and the assessment of the severity of traumatic brain injury continue to be based on clinical dia...
Deep Learning Mice Brain Injuries, Traumatic Machine Learning Algorithms Animals Humans Neural Networks, Computer
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Deep Learning to Predict Outcome in Severe Traumatic Brain Injury.

Radiology Apr 26, 2022
Tomography, X-Ray Computed Deep Learning Glasgow Coma Scale Prognosis Humans Brain Injuries, Traumatic
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Outcome Prediction in Patients with Severe Traumatic Brain Injury Using Deep Learning from Head CT Scans.

Radiology Apr 26, 2022
Background After severe traumatic brain injury (sTBI), physicians use long-term prognostication to guide acute clinical care yet struggle to predict outcomes in comatose patients. Purpose To develop and evaluate a prognostic model combining deep lear...
Deep Learning Brain Injuries, Traumatic Glasgow Coma Scale Tomography, X-Ray Computed Adult Male Prognosis Retrospective Studies Humans
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Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

Computers in biology and medicine Apr 18, 2022
The most common cause of long-term disability and death in young adults is a traumatic brain injury. The decision for surgical intervention for craniotomy is dependent on the injury type and the patient's neurologic exam. The potential subtypes of in...
Deep Learning Image Processing, Computer-Assisted Brain Injuries, Traumatic Tomography, X-Ray Computed Young Adult Hematoma, Subdural Humans Neural Networks, Computer
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Deep Learning to Predict Traumatic Brain Injury Outcomes in the Low-Resource Setting.

World neurosurgery Mar 3, 2022
OBJECTIVE: Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In these settings, accurate patient prognostication is both difficult and essential for high-quality patient care. With the ultimate goal of ...
Humans Deep Learning Uganda Logistic Models Brain Injuries, Traumatic ROC Curve
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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...
Humans Brain Injuries, Traumatic Machine Learning Discriminant Analysis Algorithms Electroencephalography Support Vector Machine
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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...
Rehabilitation Transcranial Magnetic Stimulation Biomedical Engineering Brain Injuries, Traumatic Deep Brain Stimulation Software Telemedicine Humans Robotics Wearable Electronic Devices Brain-Computer Interfaces Artificial Intelligence Virtual Reality
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