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Review
. 2018 Nov 8:9:945.
doi: 10.3389/fneur.2018.00945. eCollection 2018.

Machine Learning in Acute Ischemic Stroke Neuroimaging

Haris Kamal  1 , Victor Lopez  1 , Sunil A Sheth  1
Affiliations
Review

Machine Learning in Acute Ischemic Stroke Neuroimaging

Haris Kamal et al. Front Neurol. .

Abstract

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.

Keywords: machine learning (artificial intelligence); neuroimaging; neurosciences; stroke; stroke diagnosis; stroke management; support vector machina (SVM).

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