Comparison of an AI-based mobile pupillometry system and NPi-200 for pupillary light reflex and correlation with glaucoma-related markers.

Journal: Frontiers in neurology
Published Date: Jan 9, 2025

Abstract

INTRODUCTION: Glaucoma is a leading cause of blindness, often progressing asymptomatically until significant vision loss occurs. Early detection is crucial for preventing irreversible damage. The pupillary light reflex (PLR) has proven useful in glaucoma diagnosis, and mobile technologies like the AI-based smartphone pupillometer (AI Pupillometer) offer a promising solution for accessible screening. This study assesses the reliability of the AI Pupillometer in detecting glaucoma.

Authors

  • Damian Jaworski
    Division of Ophthalmology and Optometry, Department of Ophthalmology, Collegium Medicum, Nicolaus Copernicus University, ul. Kornela Ujejskiego, Bydgoszcz, Poland.
  • Karolina Suwała
    Oftalmika Eye Hospital, Bydgoszcz, Poland.
  • Bartlomiej J Kaluzny
    Division of Ophthalmology and Optometry, Department of Ophthalmology, Collegium Medicum, Nicolaus Copernicus University, ul. Kornela Ujejskiego, Bydgoszcz, Poland.
  • Jakub J Kaluzny
    Oftalmika Eye Hospital, Bydgoszcz, Poland.

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