Artificial Intelligence and Stroke Imaging: A West Coast Perspective.

Clicks: 157
ID: 128176
2020
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Abstract
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.
Reference Key
zhu2020artificialneuroimaging Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zhu, Guangming;Jiang, Bin;Chen, Hui;Tong, Elizabeth;Xie, Yuan;Faizy, Tobias D;Heit, Jeremy J;Zaharchuk, Greg;Wintermark, Max;
Journal neuroimaging clinics of north america
Year 2020
DOI
S1052-5149(20)30051-4
URL
Keywords
Deep learning artificial intelligence Machine learning stroke imaging

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