Artificial Intelligence in Neuroradiology: Current Status and Future Directions

Autor:	Lui, YW, Chang, PD, Zaharchuk, G, Barboriak, DP, Flanders, AE, Wintermark, M, Hess, CP, Filippi, CG
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Nuclear Medicine & Medical Imaging Neurology Artificial Intelligence Clinical Sciences Neurosciences White Paper Humans Radiology
Zdroj:	AJNR Am J Neuroradiol AJNR. American journal of neuroradiology, vol 41, iss 8
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::bfb13f40ff3cfde68ff17bbba5c3d5ea https://europepmc.org/articles/PMC7658873/ Zobrazit plný text záznamu