Cerebral haemodynamic changes Cerebral haemodynamics refers to the flow of blood in the brain and …
Tag:
machine learning
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Traumatic brain injury
Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury
by myneuronewsby myneuronewsEarly Pupil Abnormality and Its Significance Pupil abnormalities, such as asymmetry or non-reactivity to light, …
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Traumatic brain injury
Computational Modelling of Protected and Unprotected Head Impacts in Rugby
by myneuronewsby myneuronewsImpact Mechanics in Rugby The mechanics of impact in rugby are complex and involve a …
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Functional neurological disorders
Milestone Review: Unlocking the Proteomics of Glycine Receptor Complexes
by myneuronewsby myneuronewsProteomics Techniques in Glycine Receptor Analysis Understanding the complex interactions within neuronal proteins is critical …
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Traumatic brain injury
Prediction of seizure risk after repetitive mild traumatic brain injury in childhood
by myneuronewsby myneuronewsSeizure Risk Factors Seizures are common neurological events that can occur after brain injuries, including …
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Traumatic brain injury
Point-of-Care Electroencephalography in Acute Neurological Care: A Narrative Review
by myneuronewsby myneuronewsApplication of Point-of-Care EEG Point-of-care electroencephalography (POC EEG) has emerged as a transformative tool in …
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Functional neurological disorders
Frontotemporal dementia: a systematic review of artificial intelligence approaches in differential diagnosis
by myneuronewsby myneuronewsOverview of Frontotemporal Dementia Frontotemporal dementia (FTD) is a complex neurodegenerative disorder that primarily affects …
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Traumatic brain injury
The Role of Neuroimaging and Machine Learning in Understanding Mild Traumatic Brain Injury (mTBI)
Mild traumatic brain injury (mTBI), commonly referred to as a concussion, is one of the …