Digital Imaging in Acute Ischemic Stroke

Dear Colleagues,

This Special Issue "Digital Imaging in Acute Ischemic Stroke" aims to provide a comprehensive exploration of the latest advancements, research findings, and applications of digital imaging techniques in the diagnosis and management of acute ischemic stroke. Acute ischemic stroke, caused by the blockage of blood flow to the brain, is a leading cause of disability and mortality worldwide, emphasizing the need for accurate and timely diagnosis to guide appropriate treatment decisions.

This Special Issue will focus on the utilization of digital imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), and angiography, in the assessment of acute ischemic stroke. It will cover topics including the role of advanced imaging techniques in the early detection of stroke, evaluation of the extent of cerebral ischemia, identification of salvageable brain tissue, and prediction of treatment responses.

Additionally, this Special Issue will highlight the emerging role of artificial intelligence (AI) and machine learning algorithms in analyzing medical images to improve stroke diagnosis and prognosis. It will explore the potential of AI-based image analysis in identifying imaging biomarkers, predicting clinical outcomes, and guiding personalized treatment strategies.

By compiling research articles, reviews, and clinical studies, this Special Issue aims to provide a comprehensive resource for healthcare professionals, radiologists, and researchers involved in the field of acute ischemic stroke. It seeks to promote knowledge exchange, foster innovation in digital imaging techniques, and enhance patient outcomes through early and accurate diagnosis. This Special Issue is expected to contribute to the advancement of digital imaging approaches and personalized care in acute ischemic stroke, ultimately improving patient management and reducing the burden of this devastating condition.

Dr. Philip Hoelter
Guest Editor

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