Duke Health researchers found the current medical standards for assessing stroke risk perform worse for Black patients than white patients. The study, published Jan. 24 in JAMA, evaluated existing ...

Please provide your email address to receive an email when new articles are posted on . Risk scores and machine learning algorithms were less accurate at predicting stroke for Black adults than for ...

Current medical standards for accessing stroke risk perform worse for Black Americans than they do for white Americans, potentially creating a self-perpetuating driver of health inequities. A study, ...

An algorithm developed by faculty at The University of Texas Health Science Center at Houston (UTHealth) can help physicians outside of major stroke treatment centers assess whether a patient ...

A new predictive tool in the form of a risk algorithm--dubbed QStroke--can help to identify and treat patients at risk of having a stroke, according to research recently published in BMJ. The ...

Often when we see the terms ''algorithms" and "artificial intelligence" they are framed in negative or alarming light. It’s the social media algorithms, we’re told, that keep us perpetually engaged — ...

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...

Over the past two decades, the Canadian Stroke Best Practice Recommendations (CSBPR) have played a leading role in ...

Stroke remains a leading cause of death and disability in the United States, underscoring the need for effective, coordinated ...