AIMC Topic: Brain Injuries, Traumatic

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An end-end deep learning framework for lesion segmentation on multi-contrast MR images-an exploratory study in a rat model of traumatic brain injury.

Medical & biological engineering & computing Jan 10, 2023
Traumatic brain injury (TBI) engenders traumatic necrosis and penumbra-areas of secondary neural injury which are crucial targets for therapeutic interventions. Segmenting manually areas of ongoing changes like necrosis, edema, hematoma, and inflamma...
Animals Deep Learning Cohort Studies Magnetic Resonance Imaging Image Processing, Computer-Assisted Brain Injuries, Traumatic Rats Rats, Sprague-Dawley
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A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study.

Journal of medical Internet research Dec 9, 2022
BACKGROUND: The treatment and care of adults and children with traumatic brain injury (TBI) constitute an intractable global health problem. Predicting the prognosis and length of hospital stay of patients with TBI may improve therapeutic effects and...
Child Brain Injuries, Traumatic Neural Networks, Computer Machine Learning Adult Length of Stay Retrospective Studies Humans
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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...
Humans Machine Learning Brain Injuries, Traumatic Intracranial Pressure Intracranial Hypertension Computer Simulation Adult Arterial Pressure Clinical Decision Rules Brain Injuries Monitoring, Physiologic
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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 ...
Brain Injuries, Traumatic Prognosis ROC Curve Neural Networks, Computer Machine Learning 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...
Craniocerebral Trauma Intracranial Hemorrhage, Traumatic Brain Injuries, Traumatic Emergency Service, Hospital Deep Learning Child Humans Tomography, X-Ray Computed
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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...
Animals Machine Learning Humans Brain Injuries, Traumatic Deep Learning Algorithms Neural Networks, Computer Mice
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Deep Learning to Predict Outcome in Severe Traumatic Brain Injury.

Radiology Apr 26, 2022
Glasgow Coma Scale Tomography, X-Ray Computed Humans Deep Learning Prognosis 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...
Adult Male Brain Injuries, Traumatic Glasgow Coma Scale Deep Learning Prognosis Retrospective Studies Tomography, X-Ray Computed 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...
Image Processing, Computer-Assisted Brain Injuries, Traumatic Humans Tomography, X-Ray Computed Hematoma, Subdural Young Adult Neural Networks, Computer Deep Learning
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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 ...
ROC Curve Humans Logistic Models Brain Injuries, Traumatic Deep Learning Uganda
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