Stroke

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NeurologyLive compiled a number of interviews and conversations with leaders within the neurology community to discuss the neurologic symptoms associated with COVID-19.

The research scientist from the University of Texas Medical School discussed how he would like to use machine learning to aid in prediction and prophylactic treatment.

NeurologyLive compiled a number of interviews and conversations with leaders within the neurology community to discuss how the pandemic affected mental health, specifically at an in-hospital setting.

NeurologyLive conducted a number of interviews and conversations with leaders within the neurology community to discuss the resources and tools used to adapt to the COVID-19 pandemic.

NeurologyLive conducted a number of interviews and conversations with leaders within the neurology community to discuss whether the COVID-19 pandemic forced clinicians to change treatment regimens or prescriptions.

Annual reviews of moderate to vigorous physical activity may help patients maintain adequate levels of activity after stroke.

NeurologyLive conducted a number of interviews and conversations with leaders within the neurology community to assess how the COVID-19 virus affected the pathology of neurologic disorders.

NeurologyLive compiled a number of interviews and conversations with leaders within the neurology community to discuss how they adopted new methods of care throughout the COVID-19 pandemic.

NeurologyLive compiled a number of interviews and conversations with leaders within the neurology community to discuss how the COVID-19 pandemic has affected telemedicine.

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.

Here's what is coming soon to NeurologyLive.

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.

Here's what is coming soon to NeurologyLive.

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.

Here's what is coming soon to NeurologyLive.

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.

Here's what is coming soon to NeurologyLive.

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.