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Automated Large-Scale Assessment of Glaucoma Severity and Progression Based on Perimetry Data

  • By

  • Nancy Wang

  • Arun J. Thirunavukarasu

  • Hita Patel

  • Rosia Li

  • Tasneem Z. Khatib

  • September 12, 2026

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  • 1

    Ophthalmology faces significant outpatient workload challenges, particularly in glaucoma services due to high disease prevalence and monitoring needs.

  • 2

    The Glaucoma Field Defect Classifier (GFDC) was developed to standardize the grading of glaucomatous visual field defect severity.

  • 3

    GFDC 2 automates longitudinal analysis of perimetry data, eliminating manual data entry and enhancing triage workflow.

  • 4

    Validation of GFDC 2 showed near-perfect performance in interpreting visual field tests and identifying central defects.

  • 5

    Automated interpretation of perimetry may reduce backlogs by up to 40% and support risk-stratified follow-up pathways.

Original Source(s)

Automated bulk classification of glaucoma severity and progression using perimetry results

  • by Nancy Wang, Arun J. Thirunavukarasu, Hita Patel, Rosia Li, Tasneem Z. Khatib

  • September 12, 2026

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