Artificial intelligence in the diagnosis of multiple sclerosis: A systematic review.

Journal: Multiple sclerosis and related disorders
Published Date: Feb 7, 2022

Abstract

BACKGROUND: In recent years Artificial intelligence (AI) techniques are rapidly evolving into clinical practices such as diagnosis and prognosis processes, assess treatment effectiveness, and monitoring of diseases. The previous studies showed interesting results regarding the diagnostic efficiency of AI methods in differentiating Multiple sclerosis (MS) patients from healthy controls or other demyelinating diseases. There is a great lack of a comprehensive systematic review study on the role of AI in the diagnosis of MS. We aimed to perform a systematic review to document the performance of AI in MS diagnosis.

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.
  • Soroush Masrouri
    School of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Elham Ramezannezhad
    School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Ali Ghaderi
    Student's Scientific Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Amir Mohammad Sharafi
    Student's Scientific Research Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Soroush Soraneh
    School of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
  • Abdorreza Naser Moghadasi
    Multiple Sclerosis Research Center, Neuroscience institute, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: abdorrezamoghadasi@gmail.com.

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