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Artificial Intelligence in Neuroradiology: Current Status and Future Directions.

Publication ,  Journal Article
Lui, YW; Chang, PD; Zaharchuk, G; Barboriak, DP; Flanders, AE; Wintermark, M; Hess, CP; Filippi, CG
Published in: AJNR Am J Neuroradiol
August 2020

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.

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Published In

AJNR Am J Neuroradiol

DOI

EISSN

1936-959X

Publication Date

August 2020

Volume

41

Issue

8

Start / End Page

E52 / E59

Location

United States

Related Subject Headings

  • Radiology
  • Nuclear Medicine & Medical Imaging
  • Neurology
  • Humans
  • Artificial Intelligence
  • 3406 Physical chemistry
  • 3209 Neurosciences
  • 3202 Clinical sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Lui, Y. W., Chang, P. D., Zaharchuk, G., Barboriak, D. P., Flanders, A. E., Wintermark, M., … Filippi, C. G. (2020). Artificial Intelligence in Neuroradiology: Current Status and Future Directions. AJNR Am J Neuroradiol, 41(8), E52–E59. https://doi.org/10.3174/ajnr.A6681
Lui, Y. W., P. D. Chang, G. Zaharchuk, D. P. Barboriak, A. E. Flanders, M. Wintermark, C. P. Hess, and C. G. Filippi. “Artificial Intelligence in Neuroradiology: Current Status and Future Directions.AJNR Am J Neuroradiol 41, no. 8 (August 2020): E52–59. https://doi.org/10.3174/ajnr.A6681.
Lui YW, Chang PD, Zaharchuk G, Barboriak DP, Flanders AE, Wintermark M, et al. Artificial Intelligence in Neuroradiology: Current Status and Future Directions. AJNR Am J Neuroradiol. 2020 Aug;41(8):E52–9.
Lui, Y. W., et al. “Artificial Intelligence in Neuroradiology: Current Status and Future Directions.AJNR Am J Neuroradiol, vol. 41, no. 8, Aug. 2020, pp. E52–59. Pubmed, doi:10.3174/ajnr.A6681.
Lui YW, Chang PD, Zaharchuk G, Barboriak DP, Flanders AE, Wintermark M, Hess CP, Filippi CG. Artificial Intelligence in Neuroradiology: Current Status and Future Directions. AJNR Am J Neuroradiol. 2020 Aug;41(8):E52–E59.

Published In

AJNR Am J Neuroradiol

DOI

EISSN

1936-959X

Publication Date

August 2020

Volume

41

Issue

8

Start / End Page

E52 / E59

Location

United States

Related Subject Headings

  • Radiology
  • Nuclear Medicine & Medical Imaging
  • Neurology
  • Humans
  • Artificial Intelligence
  • 3406 Physical chemistry
  • 3209 Neurosciences
  • 3202 Clinical sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences