Stroke

This specialty series is dedicated to assessing the impact COVID-19 has had on the quality of life of patients with neurological disorders and the clinicians who were forced to adapt during this unique era of medical history.

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The research scientist from the University of Texas Medical School discussed how machine learning was most effective in predicting delayed cerebral ischemia when it took human-derived variables into account.

All 7 predictive scales analyzed were found to be highly accurate, with some more feasible than others.

Neurology News Network for the week ending December 19, 2020.

Take 5 minutes to catch up on NeurologyLive's highlights from the week ending December 18, 2020.

The associations, while modest, were not strong enough to be accurately used as predictors of outcome, but the findings offer value for pediatric care.

Patients with any presence of small vessel disease had a 2-times greater risk of recurrent ischemic stroke than those without.

The StrokeViewer tool is currently in use in Australia and Europe and has led to reduced patient disability in the short-term and more clot removals performed.

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Take 5 minutes to catch up on NeurologyLive's highlights from the week ending December 11, 2020.

Here's what is coming soon to NeurologyLive.

Take 5 minutes to catch up on NeurologyLive's highlights from the week ending December 4, 2020.

The research scientist from the University of Texas Medical School at Houston discussed the potential of machine learning to predict outcomes before symptoms arise.

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Take 5 minutes to catch up on NeurologyLive's highlights from the week ending November 27, 2020.

Despite having independent association with a number of outcomes, SVD MRI features lacked prognostic value for patients with stroke.

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The amount of neurofilament light may be indicative of neuron injury in the brain.

Two-thirds of patients with critical results were African American, demonstrating an additional need to explore associations between ethnicity and COVID-19.

Take 5 minutes to catch up on NeurologyLive's highlights from the week ending November 20, 2020.

Machine learning models analyze routine clinical variables to determine the risk of delayed ischemic stroke and other outcomes.

The first trial of tranexamic acid in patients with known ongoing intracerebral hemorrhage shows insignificance compared with placebo, with future studies of simpler recruitment methods needed.

NeurologyLive spoke with Julie Bernhardt, PhD, to learn more about her investigations into developing guidelines for very early mobilization for stroke treatment.

Here's what is coming soon to NeurologyLive.