The Use of Artificial Intelligence in the Management of Neurodegenerative Disorders; Focus on Alzheimer's Disease.

Journal: Galen medical journal
Published Date:

Abstract

Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, prediction, treatment plans, and monitoring of neurodegenerative disorders. AI algorithms can analyze huge quantities of data from numerous sources, including medical images, quantifiable proteins in urine, blood, and cerebrospinal fluid (CSF), genetic information, clinical records, electroencephalography (EEG) signals, driving behaviors, and so forth. Alzheimer's disease (AD) is one of the most common neurodegenerative disorders that progressively damage cognitive abilities and memory. This study specifically explores the possible application of AI in the diagnosis, prediction, monitoring, biomarker or drug discovery, and classification of AD.

Authors

  • Khazar Ghasempour Dabbaghi
    School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Zahra Khosravirad
    Department of Quality Improvement in Kowsar Hospital, Shiraz, Iran.
  • Sheida Jamalnia
    Department of Nursing and Midwifery, Kazeroun Branch, Islamic Azad University, Kazeroun, Iran.
  • Rahil GhorbaniNia
    Noncommunicable Disease Research Center, Bam University of Medical Science, Bam, Iran.
  • Fatemeh Mahmoudikohani
    Department of Midwifery, School of Nursing and Midwifery, Bam University of Medical Science, Bam, Iran.
  • Habib Zakeri
    Research Center for Neuromodulation and Pain, NAB Pain Clinic, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Solmaz Khastehband
    Department of Educational Management, Islamic Azad University-south Tehran Branch, Tehran, Iran.

Keywords

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