AIMC Topic: Brain Injuries

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Deciphering seizure semiology in corpus callosum injuries: A comprehensive systematic review with machine learning insights.

Clinical neurology and neurosurgery May 7, 2024
INTRODUCTION: Seizure disorders have often been found to be associated with corpus callosum injuries, but in most cases, they remain undiagnosed. Understanding the clinical, electrographic, and neuroradiological alternations can be crucial in delinea...
Brain Injuries Seizures Corpus Callosum Humans Machine Learning
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Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients.

Seminars in neurology Apr 3, 2024
The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for significant strides in patient diagnosis, treatment, and prognostication in neurocritical care. These technologies offer the potential to unravel complex ...
Brain Injuries Critical Care Machine Learning Critical Illness Humans Artificial Intelligence
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Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis.

Brain research bulletin Mar 5, 2024
Research on artificial intelligence for brain injury is currently a prominent area of scientific research. A significant amount of related literature has been accumulated in this field. This study aims to identify hotspots and clarify research resour...
China Artificial Intelligence Bibliometrics Machine Learning Brain Injuries Humans
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Neuromonitoring in the ICU - what, how and why?

Current opinion in critical care Feb 7, 2024
PURPOSE OF REVIEW: We selectively review emerging noninvasive neuromonitoring techniques and the evidence that supports their use in the ICU setting. The focus is on neuromonitoring research in patients with acute brain injury.
Humans Reproducibility of Results Intracranial Pressure Brain Injuries Artificial Intelligence Intensive Care Units Monitoring, Physiologic
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Ethical Considerations in Neuroprognostication Following Acute Brain Injury.

Seminars in neurology Oct 6, 2023
Neuroprognostication following acute brain injury (ABI) is a complex process that involves integrating vast amounts of information to predict a patient's likely trajectory of neurologic recovery. In this setting, critically evaluating salient ethical...
Brain Injuries Humans Artificial Intelligence
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Efficient Generation of Pretraining Samples for Developing a Deep Learning Brain Injury Model via Transfer Learning.

Annals of biomedical engineering Aug 29, 2023
The large amount of training samples required to develop a deep learning brain injury model demands enormous computational resources. Here, we study how a transformer neural network (TNN) of high accuracy can be used to efficiently generate pretraini...
Neural Networks, Computer Deep Learning Humans Brain Injuries Models, Biological
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A Morphologically Individualized Deep Learning Brain Injury Model.

Journal of neurotrauma Jul 18, 2023
The brain injury modeling community has recommended improving model subject specificity and simulation efficiency. Here, we extend an instantaneous (< 1 sec) convolutional neural network (CNN) brain model based on the anisotropic Worcester Head Injur...
Brain Injuries Deep Learning Adolescent Humans Neural Networks, Computer Female Computer Simulation Biomechanical Phenomena
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Effect of gait distance during robot training on walking independence after acute brain injury.

Assistive technology : the official journal of RESNA Feb 28, 2023
This study aimed to determine whether the distance of gait training using a hybrid assistive limb (HAL) is related to the improvement of walking independence in patients with acute brain injury. This was an exploratory, observational study. Thirty pa...
Male Middle Aged Robotics Walking Brain Injuries Aged Adult Humans Female Hemiplegia Stroke Rehabilitation Gait Exercise Therapy
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Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness.

Journal of neuroengineering and rehabilitation Feb 19, 2023
BACKGROUND: In the past decade, there has been substantial progress in the development of robotic controllers that specify how lower-limb exoskeletons should interact with brain-injured patients. However, it is still an open question which exoskeleto...
Humans Robotics Exoskeleton Device Neurological Rehabilitation Treatment Outcome Brain Injuries
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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...
Brain Injuries, Traumatic Clinical Decision Rules Computer Simulation Intracranial Pressure Monitoring, Physiologic Humans Adult Arterial Pressure Machine Learning Intracranial Hypertension Brain Injuries
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