AIMC Topic: Brain Injuries
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Effect of Robot-Assisted Gait Training in a Large Population of Children With Motor Impairment Due to Cerebral Palsy or Acquired Brain Injury.
Archives of physical medicine and rehabilitation
Sep 25, 2019
OBJECTIVE: To evaluate retrospectively the effect of robotic rehabilitation in a large group of children with motor impairment; an additional goal was to identify the effects in children with cerebral palsy (CP) and acquired brain injury (ABI) and wi...
Modelling outcomes after paediatric brain injury with admission laboratory values: a machine-learning approach.
Pediatric research
Jul 26, 2019
BACKGROUND: Severe traumatic brain injury (TBI) is a leading cause of mortality in children, but the accurate prediction of outcomes at the point of admission remains very challenging. Admission laboratory results are a promising potential source of ...
Artificial intelligence in neurocritical care.
Journal of the neurological sciences
Jun 29, 2019
BACKGROUND: Neurocritical care combines the management of extremely complex disease states with the inherent limitations of clinically assessing patients with brain injury. As the management of neurocritical care patients can be immensely complicated...
Effect of verticalization with Erigo® in the acute rehabilitation of severe acquired brain injury.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
May 25, 2019
The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objective to pursue in order to avoid the occurrence of secondary complications resulting from prolonged immobilization to which the patient is subjected dur...
Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma.
Cancer imaging : the official publication of the International Cancer Imaging Society
Mar 25, 2019
BACKGROUND: The purpose/aim of this study was to 1) use magnetic resonance diffusion tensor imaging (DTI), fibre bundle/tract-based spatial statistics (TBSS) and machine learning methods to study changes in the white matter (WM) structure and whole b...
Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.
Journal of neural engineering
Jan 31, 2019
OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs. Quantitative knowledge on the sedation effect on brain activity in that complex scenario could help to uncover new markers for sedation assessment. ...
An active learning framework for enhancing identification of non-artifactual intracranial pressure waveforms.
Physiological measurement
Jan 18, 2019
OBJECTIVE: Intracranial pressure (ICP) is an important and established clinical measurement that is used in the management of severe acute brain injury. ICP waveforms are usually triphasic and are susceptible to artifact because of transient catheter...
Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged.
Computational intelligence and neuroscience
Dec 2, 2018
The accelerated growth of the percentage of elder people and persons with brain injury-related conditions and who are intellectually challenged are some of the main concerns of the developed countries. These persons often require special cares and ev...
Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.
Lancet (London, England)
Oct 11, 2018
BACKGROUND: Non-contrast head CT scan is the current standard for initial imaging of patients with head trauma or stroke symptoms. We aimed to develop and validate a set of deep learning algorithms for automated detection of the following key finding...
Do powered over-ground lower limb robotic exoskeletons affect outcomes in the rehabilitation of people with acquired brain injury?
Disability and rehabilitation. Assistive technology
Sep 21, 2018
To assess the effects of lower limb robotic exoskeletons on outcomes in the rehabilitation of people with acquired brain injury. A systematic review of seven electronic databases was conducted. The primary outcome of interest was neuromuscular funct...
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