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Article CommentaryWHITE PAPER

Critical Appraisal of Artificial Intelligence–Enabled Imaging Tools Using the Levels of Evidence System

N. Pham, V. Hill, A. Rauschecker, Y. Lui, S. Niogi, C.G. Fillipi, P. Chang, G. Zaharchuk and M. Wintermark
American Journal of Neuroradiology April 2023, DOI: https://doi.org/10.3174/ajnr.A7850
N. Pham
aFrom the Department of Radiology (N.P., G.Z.), Stanford School of Medicine, Palo Alto, California
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V. Hill
bDepartment of Radiology (V.H.), Northwestern University Feinberg School of Medicine, Chicago, Illinois
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A. Rauschecker
cDepartment of Radiology (A.R.), University of California, San Francisco, San Francisco, California
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Y. Lui
dDepartment of Radiology (Y.L.), NYU Grossman School of Medicine, New York, New York
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S. Niogi
eDepartment of Radiology (S.N.), Weill Cornell Medicine, New York, New York
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C.G. Fillipi
fDepartment of Radiology (C.G.F.), Tufts University School of Medicine, Boston, Massachusetts
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P. Chang
gDepartment of Radiology (P.C.), University of California, Irvine, Irvine, California
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G. Zaharchuk
aFrom the Department of Radiology (N.P., G.Z.), Stanford School of Medicine, Palo Alto, California
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M. Wintermark
hDepartment of Neuroradiology (M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A7850
PubMed 
37080722

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received December 16, 2022
  • Accepted after revision March 16, 2023
  • Published online April 20, 2023.

Article Versions

  • You are currently viewing a Latest version of this article (April 20, 2023 - 09:02).
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Copyright & Usage 
© 2023 by American Journal of Neuroradiology

Author Information

  1. N. Phama,
  2. V. Hillb,
  3. A. Rauscheckerc,
  4. Y. Luid,
  5. S. Niogie,
  6. C.G. Fillipif,
  7. P. Changg,
  8. G. Zaharchuka and
  9. M. Wintermarkh
  1. aFrom the Department of Radiology (N.P., G.Z.), Stanford School of Medicine, Palo Alto, California
  2. bDepartment of Radiology (V.H.), Northwestern University Feinberg School of Medicine, Chicago, Illinois
  3. cDepartment of Radiology (A.R.), University of California, San Francisco, San Francisco, California
  4. dDepartment of Radiology (Y.L.), NYU Grossman School of Medicine, New York, New York
  5. eDepartment of Radiology (S.N.), Weill Cornell Medicine, New York, New York
  6. fDepartment of Radiology (C.G.F.), Tufts University School of Medicine, Boston, Massachusetts
  7. gDepartment of Radiology (P.C.), University of California, Irvine, Irvine, California
  8. hDepartment of Neuroradiology (M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
  1. Please address correspondence to Nancy Pham, MD, Stanford School of Medicine, Department of Radiology, 453 Quarry Rd, 322.11, Palo Alto, CA 94304; e-mail: pham.nancy{at}gmail.com; @stanfordneuroi1
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N. Pham, V. Hill, A. Rauschecker, Y. Lui, S. Niogi, C.G. Fillipi, P. Chang, G. Zaharchuk, M. Wintermark
Critical Appraisal of Artificial Intelligence–Enabled Imaging Tools Using the Levels of Evidence System
American Journal of Neuroradiology Apr 2023, DOI: 10.3174/ajnr.A7850

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Critical Appraisal of Artificial Intelligence–Enabled Imaging Tools Using the Levels of Evidence System
N. Pham, V. Hill, A. Rauschecker, Y. Lui, S. Niogi, C.G. Fillipi, P. Chang, G. Zaharchuk, M. Wintermark
American Journal of Neuroradiology Apr 2023, DOI: 10.3174/ajnr.A7850
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