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 July 2020, 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
P.D. Chang
bDepartment of Radiology (P.D.C.), University of California Irvine Health Medical Center, Orange, California
G. Zaharchuk
cDepartment of Neuroradiology (G.Z., M.W.), Stanford University, Stanford, California
D.P. Barboriak
dDepartment of Radiology (D.P.B.), Duke University Medical Center, Durham, North Carolina
A.E. Flanders
eDepartment of Radiology (A.E.F.), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
M. Wintermark
cDepartment of Neuroradiology (G.Z., M.W.), Stanford University, Stanford, California
C.P. Hess
fDepartment of Radiology and Biomedical Imaging (C.P.H.), University of California, San Francisco, San Francisco, California
C.G. Filippi
gDepartment of Radiology (C.G.F.), Northwell Health, New York, New York.
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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 Jul 2020, DOI: 10.3174/ajnr.A6681
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