AIMC Topic: Brain Injuries

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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...
Humans China Bibliometrics Brain Injuries Artificial Intelligence Machine Learning
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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.
Monitoring, Physiologic Intracranial Pressure Brain Injuries Intensive Care Units Artificial Intelligence Humans Reproducibility of Results
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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...
Humans Neural Networks, Computer Deep Learning 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...
Biomechanical Phenomena Deep Learning Computer Simulation Female Adolescent Brain Injuries Humans Neural Networks, Computer
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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...
Exercise Therapy Hemiplegia Stroke Rehabilitation Walking Gait Brain Injuries Robotics Female Aged Male Middle Aged Adult Humans
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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...
Treatment Outcome Brain Injuries Humans Neurological Rehabilitation Robotics Exoskeleton Device
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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...
Arterial Pressure Clinical Decision Rules Brain Injuries Monitoring, Physiologic Intracranial Pressure Intracranial Hypertension Computer Simulation Humans Machine Learning Adult Brain Injuries, Traumatic
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Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports.

JAMA network open Aug 1, 2022
IMPORTANCE: Clinical text reports from head computed tomography (CT) represent rich, incompletely utilized information regarding acute brain injuries and neurologic outcomes. CT reports are unstructured; thus, extracting information at scale requires...
Natural Language Processing Research Report Tomography, X-Ray Computed Brain Injuries Humans Algorithms
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Automated soccer head impact exposure tracking using video and deep learning.

Scientific reports Jun 3, 2022
Head impacts are highly prevalent in sports and there is a pressing need to investigate the potential link between head impact exposure and brain injury risk. Wearable impact sensors and manual video analysis have been utilized to collect impact expo...
Video Recording Brain Injuries Soccer Humans Head Deep Learning Football
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