Introduction The use of artificial intelligence (AI), which can emulate human intelligence and
enhance clinical results, has grown in healthcare decision-making due to the digitalization …

Artificial Intelligence (AI) has emerged as a transformative tool in the field of neurology,
offering innovative solutions for the diagnosis, treatment, and management of brain …

Hematoma expansion occasionally occurs in patients with intracerebral hemorrhage (ICH),
associating with poor outcome. Multimodal neural networks incorporating convolutional …

Artificial Intelligence (AI) made its first appearance in 1956, and since then it has
progressively introduced itself in healthcare systems and patients' information and care. AI …

Telestroke has become commonplace for hospitals requiring access to stroke expertise
when that expertise is not locally available. Telestroke networks have been developed to …

Background Stroke stands as a prominent cause of mortality and disability worldwide,
posing a major public health concern. Recent years have witnessed rapid advancements in …

Background Cerebrovascular diseases (CVDs) are a major and potentially increasing
burden to public health. Digital health interventions (DHIs) could support access to and …

Background Prediction of outcome after stroke is critical for treatment planning and resource
allocation but is complicated by fluctuations during the first days after onset. We propose a …

Purpose To create and validate an automated pipeline for detection of early signs of
irreversible ischemic change from admission CTA in patients with large vessel occlusion …

This study investigated the usefulness of the montage method that combines four different
magnetic resonance images into one images for automatic acute ischemic stroke (AIS) …