The emerging role of artificial intelligence in multiple sclerosis imaging.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)
Published Date: Oct 28, 2020

Abstract

BACKGROUND: Computer-aided diagnosis can facilitate the early detection and diagnosis of multiple sclerosis (MS) thus enabling earlier interventions and a reduction in long-term MS-related disability. Recent advancements in the field of artificial intelligence (AI) have led to the improvements in the classification, quantification and identification of diagnostic patterns in medical images for a range of diseases, in particular, for MS. Importantly, data generated using AI techniques are analyzed automatically, which compares favourably with labour-intensive and time-consuming manual methods.

Authors

  • H M Rehan Afzal
    School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, Australia/Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
  • Suhuai Luo
    The University of Newcastle, University Drive, Callaghan 2308, Australia.
  • Saadallah Ramadan
    Hunter Medical Research Institute, New Lambton Heights, NSW, Australia/School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia.
  • Jeannette Lechner-Scott
    Hunter Medical Research Institute, New Lambton Heights, NSW, Australia/School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia/Department of Neurology, John Hunter Hospital, New Lambton Heights, NSW, Australia.

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