PT  - JOURNAL ARTICLE
AU  - Y.W. Lui
AU  - P.D. Chang
AU  - G. Zaharchuk
AU  - D.P. Barboriak
AU  - A.E. Flanders
AU  - M. Wintermark
AU  - C.P. Hess
AU  - C.G. Filippi
TI  - Artificial Intelligence in Neuroradiology: Current Status and Future Directions
AID  - 10.3174/ajnr.A6681
DP  - 2020 Jul 30
TA  - American Journal of Neuroradiology
4099  - http://www.ajnr.org/content/early/2020/07/30/ajnr.A6681.short
4100  - http://www.ajnr.org/content/early/2020/07/30/ajnr.A6681.full
AB  - 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.AIartificial intelligence