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Retinal Age Model Tied to Disease Risk

Fundus-based tool estimates biologic aging but shows modest gains over prior models

  • By

  • Andrea Surnit

  • May 1, 2026

  • 4 min

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  • 1

    A deep-learning model estimated retinal age with a mean absolute error of about 3 years, indicating strong predictive performance.

  • 2

    Larger retinal age gaps were linked to cardiometabolic conditions, particularly in patients taking diabetes medication.

  • 3

    The model's performance declined in heterogeneous populations, highlighting the need for validation in diverse groups.

  • 4

    The study's observational design and reliance on self-reported data may limit the interpretability of its findings.

  • 5

    Further research is necessary to establish clinical thresholds and assess the model's impact on patient outcomes.

Original Source(s)

Retinal Age Model Tied to Disease Risk

  • by Andrea Surnit

  • May 1, 2026

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