Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis - a systematic review.

Journal: Frontiers in neuroscience
Published Date: Jan 21, 2025

Abstract

INTRODUCTION: Magnetic resonance imaging (MRI) is conventionally used for the detection and diagnosis of multiple sclerosis (MS), often complemented by lumbar puncture-a highly invasive method-to validate the diagnosis. Additionally, MRI is periodically repeated to monitor disease progression and treatment efficacy. Recent research has focused on the application of artificial intelligence (AI) and radiomics in medical image processing, diagnosis, and treatment planning.

Authors

  • Filip Orzan
    Department of Biomedical Physics, Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, Romania.
  • Ştefania D Iancu
    Department of Biomedical Physics, Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, Romania.
  • Laura Dioşan
    Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania.
  • Zoltán Bálint
    Department of Biomedical Physics, Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, Romania.

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