Decoding Parkinson's Diagnosis: An OCT-Based Explainable AI with SHAP/LIME Transparency from the Persian Cohort Study.

Journal: Photodiagnosis and photodynamic therapy
Published Date: Jun 14, 2025

Abstract

BACKGROUND: Parkinson's disease (PD) diagnosis remains challenging due to subjective clinical assessments and late-stage symptom manifestation. Retinal optical coherence tomography (OCT) biomarkers, reflecting neurodegenerative changes, offer a non-invasive diagnostic avenue. This study integrates retinal OCT with explainable artificial intelligence (XAI) to address PD diagnostic uncertainties.

Authors

  • Zohreh Ganji
    Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Farzane Nikparast
    Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Student research committee, Mashhad University of medical sciences, Mashhad, Iran.
  • Naser Shoeibi
    Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Ali Shoeibi
    Department of Neurology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Hoda Zare
    Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Keywords

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