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Artificial Intelligence in Neuroradiology: Current Status and Future Directions.
Lui, Y W; Chang, P D; Zaharchuk, G; Barboriak, D P; Flanders, A E; Wintermark, M; Hess, C P; Filippi, C G.
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  • Lui YW; From the Department of Radiology (Y.W.L.), New York University Langone Medical Center, New York, New York.
  • Chang PD; Department of Radiology (P.D.C.), University of California Irvine Health Medical Center, Orange, California.
  • Zaharchuk G; Department of Neuroradiology (G.Z., M.W.), Stanford University, Stanford, California.
  • Barboriak DP; Department of Radiology (D.P.B.), Duke University Medical Center, Durham, North Carolina.
  • Flanders AE; Department of Radiology (A.E.F.), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania.
  • Wintermark M; Department of Neuroradiology (G.Z., M.W.), Stanford University, Stanford, California.
  • Hess CP; Department of Radiology and Biomedical Imaging (C.P.H.), University of California, San Francisco, San Francisco, California.
  • Filippi CG; Department of Radiology (C.G.F.), Northwell Health, New York, New York. sairaallapeikko@gmail.com.
AJNR Am J Neuroradiol ; 41(8): E52-E59, 2020 08.
Article en En | MEDLINE | ID: mdl-32732276
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial / Neurología Límite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Imprimir
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial / Neurología Límite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos