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Research ArticleWhite Paper

Artificial Intelligence in Neuroradiology: Current Status and Future Directions

Y.W. Lui, P.D. Chang, G. Zaharchuk, D.P. Barboriak, A.E. Flanders, M. Wintermark, C.P. Hess and C.G. Filippi
American Journal of Neuroradiology August 2020, 41 (8) E52-E59; DOI: https://doi.org/10.3174/ajnr.A6681
Y.W. Lui
aFrom the Department of Radiology (Y.W.L.), New York University Langone Medical Center, New York, New York
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P.D. Chang
bDepartment of Radiology (P.D.C.), University of California Irvine Health Medical Center, Orange, California
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G. Zaharchuk
cDepartment of Neuroradiology (G.Z., M.W.), Stanford University, Stanford, California
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D.P. Barboriak
dDepartment of Radiology (D.P.B.), Duke University Medical Center, Durham, North Carolina
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A.E. Flanders
eDepartment of Radiology (A.E.F.), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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M. Wintermark
cDepartment of Neuroradiology (G.Z., M.W.), Stanford University, Stanford, California
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C.P. Hess
fDepartment of Radiology and Biomedical Imaging (C.P.H.), University of California, San Francisco, San Francisco, California
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C.G. Filippi
gDepartment of Radiology (C.G.F.), Northwell Health, New York, New York.
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Abstract

SUMMARY: Fueled 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.

ABBREVIATION:

AI
artificial intelligence
  • © 2020 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 41 (8)
American Journal of Neuroradiology
Vol. 41, Issue 8
1 Aug 2020
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Cite this article
Y.W. Lui, P.D. Chang, G. Zaharchuk, D.P. Barboriak, A.E. Flanders, M. Wintermark, C.P. Hess, C.G. Filippi
Artificial Intelligence in Neuroradiology: Current Status and Future Directions
American Journal of Neuroradiology Aug 2020, 41 (8) E52-E59; DOI: 10.3174/ajnr.A6681

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Artificial Intelligence in Neuroradiology: Current Status and Future Directions
Y.W. Lui, P.D. Chang, G. Zaharchuk, D.P. Barboriak, A.E. Flanders, M. Wintermark, C.P. Hess, C.G. Filippi
American Journal of Neuroradiology Aug 2020, 41 (8) E52-E59; DOI: 10.3174/ajnr.A6681
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