• Y W Lui, P D Chang, G Zaharchuk, D P Barboriak, A E Flanders, M Wintermark, C P Hess, and C G Filippi.
• From the Department of Radiology (Y.W.L.), New York University Langone Medical Center, New York, New York.
• AJNR Am J Neuroradiol. 2020 Aug 1; 41 (8): E52-E59.

AbstractFueled by new techniques, computational tools, and broader availability of imaging data, artificial intelligence has the potential to transform the practice of neuroradiology. The recent exponential increase in publications related to artificial intelligence and the central focus on artificial intelligence at recent professional and scientific radiology meetings underscores the importance. There is growing momentum behind leveraging artificial intelligence techniques to improve workflow and diagnosis and treatment and to enhance the value of quantitative imaging techniques. This article explores the reasons why neuroradiologists should care about the investments in new artificial intelligence applications, highlights current activities and the roles neuroradiologists are playing, and renders a few predictions regarding the near future of artificial intelligence in neuroradiology.© 2020 by American Journal of Neuroradiology.

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