Stroke is an emergency in which delays in treatment can lead to significant loss of
neurological function and be fatal. Technologies that increase the speed and accuracy of …

Artificial intelligence technology is a rapidly expanding field with many applications in acute
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …

AI has drastically changed the acute stroke workflow. The AI technology runs in parallel with
hospital picture archiving and communication systems (PACS) in which imaging data are …

We are in the midst of an artificial intelligence (AI) revolution. With the rapid development of
deep learning and machine learning algorithms in recent years, the application of AI in …

Brain imaging is essential to the clinical care of patients with stroke, a leading cause of
disability and death worldwide. Whereas advanced neuroimaging techniques offer …

Teleneurology has provided access to neurological expertise and state-of-the-art stroke care
where previously they have been inaccessible. The use of Artificial Intelligence with …

Stroke is a leading cause of disability and mortality worldwide, necessitating the
development of advanced technologies to improve its diagnosis, treatment, and patient …

The identification and treatment of patients with stroke is becoming increasingly complex as
more treatment options become available and new relationships between disease features …

Background: Established randomized trial-based parameters for acute ischemic stroke
group patients into generic treatment groups, leading to attempts using various artificial …

The US Food and Drug Administration (FDA) has cleared a deep-learning algorithm that
analyzes images to detect potential strokes. The computer-aided image software system …