Diagnosis of multiple sclerosis using optical coherence tomography supported by explainable artificial intelligence.

Journal: Eye (London, England)
PMID: 38297153

Abstract

BACKGROUND/OBJECTIVES: Study of retinal structure based on optical coherence tomography (OCT) data can facilitate early diagnosis of relapsing-remitting multiple sclerosis (RRMS). Although artificial intelligence can provide highly reliable diagnoses, the results obtained must be explainable.

Authors

  • F J Dongil-Moreno
    Biomedical Engineering Group, Department of Electronics, University of Alcalá, Alcalá de Henares, Spain.
  • M Ortiz
    School of Physics, University of Melbourne, Melbourne, 3010, VIC, Australia.
  • A Pueyo
    Department of Ophthalmology, Miguel Servet University Hospital, Zaragoza, Spain.
  • L Boquete
    Biomedical Engineering Group, Department of Electronics, University of Alcalá, Alcalá de Henares, Spain.
  • E M Sánchez-Morla
    Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, 28007, Madrid, Spain.
  • D Jimeno-Huete
    Biomedical Engineering Group, Department of Electronics, University of Alcalá, Alcalá de Henares, Spain.
  • J M Miguel
    Biomedical Engineering Group, Department of Electronics, University of Alcalá, Alcalá de Henares, Spain.
  • R Barea
    Biomedical Engineering Group, Department of Electronics, University of Alcalá, Alcalá de Henares, Spain.
  • E Vilades
    Department of Ophthalmology, Miguel Servet University Hospital, Zaragoza, Spain.
  • E Garcia-Martin
    Department of Ophthalmology, Miguel Servet University Hospital, Zaragoza, Spain. egmvivax@yahoo.com.

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