AIMC Topic: Brain Injuries
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Robot-assisted gait training for individuals with severe acquired brain injury: a scoping review.
Brain injury
May 5, 2025
INTRODUCTION: Early out-of-bed mobilization is recommended for individuals with severe acquired brain injury and impaired consciousness to promote recovery. Robot-assisted gait training (RAGT) utilizes robotic assistance to facilitate neuroplastic ch...
Radiomics for differentiating radiation-induced brain injury from recurrence in gliomas: systematic review, meta-analysis, and methodological quality evaluation using METRICS and RQS.
European radiology
Feb 12, 2025
OBJECTIVE: To systematically evaluate glioma radiomics literature on differentiating between radiation-induced brain injury and tumor recurrence.
Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury.
Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics
Jan 23, 2025
Electroencephalography (EEG) is invaluable in the management of acute neurological emergencies. Characteristic EEG changes have been identified in diverse neurologic conditions including stroke, trauma, and anoxia, and the increased utilization of co...
Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.
Critical care (London, England)
Jan 9, 2025
BACKGROUND: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury ...
Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable?
PloS one
Dec 30, 2024
Real-time monitoring of intracranial pressure (ICP) is a routine part of neurocritical care in the management of brain injury. While mainly used to detect episodes of intracranial hypertension, the ICP signal is also indicative of the volume-pressure...
Predicting cortical-thalamic functional connectivity using functional near-infrared spectroscopy and graph convolutional networks.
Scientific reports
Nov 30, 2024
Functional near-infrared spectroscopy (fNIRS) measures cortical hemodynamic changes, yet it cannot collect this information from subcortical structures, such as the thalamus, which is involved in several key functional networks. To address this drawb...
Machine learning models of cerebral oxygenation (rcSO) for brain injury detection in neonates with hypoxic-ischaemic encephalopathy.
The Journal of physiology
Oct 19, 2024
The present study was designed to test the potential utility of regional cerebral oxygen saturation (rcSO) in detecting term infants with brain injury. The study also examined whether quantitative rcSO features are associated with grade of hypoxic is...
Predicting Long-Term Outcome of Prolonged Disorder of Consciousness in Children Through Machine Learning Based on Conventional Structural Magnetic Resonance Imaging.
Neurorehabilitation and neural repair
Sep 28, 2024
BACKGROUND: The prognosis of prolonged disorders of consciousness (pDoC) in children has consistently posed a formidable challenge in clinical decision-making.
Can deep learning classify cerebral ultrasound images for the detection of brain injury in very preterm infants?
European radiology
Aug 30, 2024
OBJECTIVES: Cerebral ultrasound (CUS) is the main imaging screening tool in preterm infants. The aim of this work is to develop deep learning (DL) models that classify normal vs abnormal CUS to serve as a computer-aided detection tool providing timel...
Estimating highest capacity propulsion performance using backward-directed force during walking evaluation for individuals with acquired brain injury.
Journal of neuroengineering and rehabilitation
Aug 5, 2024
There are over 5.3 million Americans who face acquired brain injury (ABI)-related disability as well as almost 800,000 who suffer from stroke each year. To improve mobility and quality of life, rehabilitation professionals often focus on walking reco...
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