Artificial Intelligence in Neuroradiology: Current Status and Future Directions

19Citations
Citations of this article
77Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

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. American Journal of Neuroradiology, 41(8), E52–E59. https://doi.org/10.3174/ajnr.A6681

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free