Diagnostic performance of artificial intelligence in multiple sclerosis: a systematic review and meta-analysis.

Journal: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Published Date: Oct 27, 2022

Abstract

BACKGROUND: The expansion of the availability of advanced imaging methods needs more time, expertise, and resources which is in contrast to the primary goal of the imaging techniques. To overcome most of these difficulties, artificial intelligence (AI) can be used. A number of studies used AI models for multiple sclerosis (MS) diagnosis and reported diverse results. Therefore, we aim to perform a comprehensive systematic review and meta-analysis study on the role of AI in the diagnosis of MS.

Authors

  • Fardin Nabizadeh
    Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran; School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Elham Ramezannezhad
    School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Amirhosein Kargar
    Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Science, Tehran, Iran.
  • Amir Mohammad Sharafi
    Student's Scientific Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Ali Ghaderi
    Student's Scientific Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

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