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In Neuroimaging clinics of North America

Artificial intelligence (AI) advancements have significant implications for medical imaging. Stroke is the leading cause of disability and the fifth leading cause of death in the United States. AI applications for stroke imaging are a topic of intense research. AI techniques are well-suited for dealing with vast amounts of stroke imaging data and a large number of multidisciplinary approaches used in classification, risk assessment, segmentation tasks, diagnosis, prognosis, and even prediction of therapy responses. This article addresses this topic and seeks to present an overview of machine learning and/or deep learning applied to stroke imaging.

Zhu Guangming, Jiang Bin, Chen Hui, Tong Elizabeth, Xie Yuan, Faizy Tobias D, Heit Jeremy J, Zaharchuk Greg, Wintermark Max


Artificial intelligence, Deep learning, Machine learning, Stroke imaging