Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient outcomes in a number of neurological diseases. The evaluation and treatment of Acute Ischemic Stroke (AIS) have experienced a significant advancement over the past few years, increasingly requiring the use of neuroimaging for decision-making. In this review, we offer an insight into the recent developments and applications of ML in neuroimaging focusing on acute ischemic stroke.
CITATION STYLE
Kamal, H., Lopez, V., & Sheth, S. A. (2018). Machine learning in acute ischemic stroke neuroimaging. Frontiers in Neurology, 9(NOV). https://doi.org/10.3389/fneur.2018.00945
Mendeley helps you to discover research relevant for your work.