Emerging role of artificial intelligence in stroke imaging.

Journal: Expert review of neurotherapeutics
Published Date: Jul 1, 2021

Abstract

: The recognition and therapy of patients with stroke is becoming progressively intricate as additional treatment choices become accessible and new associations between disease characteristics and treatment response are incessantly uncovered. Therefore, clinicians must regularly learn new skill, stay up to date with the literature and integrate advances into daily practice. The application of artificial intelligence (AI) to assist clinical decision making could diminish inter-rater variation in routine clinical practice and accelerate the mining of vital data that could expand recognition of patients with stroke, forecast of treatment responses and patient outcomes.: In this review, the authors provide an up-to-date review of AI in stroke, analyzing the latest papers on this subject. These have been divided in two main groups: stroke diagnosis and outcome prediction.: The highest value of AI is its capability to merge, select and condense a large amount of clinical and imaging features of a single patient and to associate these with fitted models that have gone through robust assessment and optimization with large cohorts of data to support clinical decision making.

Authors

  • Giuseppe Corrias
    Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), Di Cagliari - Polo Di Monserrato, S.s. 554 Monserrato (Cagliari), Italy.
  • Andrea Mazzotta
    Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), Di Cagliari - Polo Di Monserrato, S.s. 554 Monserrato (Cagliari), Italy.
  • Marta Melis
    Department of Neurology, Azienda Ospedaliero Universitaria (A.O.U.), Di Cagliari - Cagliari, Italy.
  • Filippo Cademartiri
    Cardiovascular Imaging Center, SDN IRCCS, Naples, Italy.
  • Qi Yang
    Department of Radiology, The First Hospital of Jilin University, No.1, Xinmin Street, Changchun 130021, China (Y.W., M.L., Z.M., J.W., K.H., Q.Y., L.Z., L.M., H.Z.).
  • Jasjit S Suri
    Advanced Knowledge Engineering Center, Global Biomedical Technologies, Inc., Roseville, CA, USA. Electronic address: jsuri@comcast.net.
  • Luca Saba
    Department of Radiology, A.O.U., Italy.

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