Retinal Age as Disease Biomarker - Summary - MDSpire

Retinal Age as Disease Biomarker

Fundus-based AI screening can indicate “retinal age” of patients, as well as flag systemic disease risks, says new study

  • May 27, 2026

  • 3 min

Share

Objective:

To evaluate the accuracy of a deep learning model in estimating biological aging through retinal imaging and its implications for systemic disease screening.

Key Findings:
  • The model demonstrated improved accuracy over previous systems.
  • Patients with diabetes, cardiac disease, or a history of stroke had significantly higher retinal age gaps.
  • The model's predictions focused on the optic disc, macula, and major vascular arcades, indicating their relevance to systemic vascular health.
Interpretation:

Limitations:
  • The study population was predominantly Asian, affecting generalizability.
  • Performance declined in more diverse datasets.
  • Image quality and acquisition variability influenced accuracy.
Conclusion:

Original Source(s)

Retinal Age as Disease Biomarker

  • May 27, 2026

Related Content

Accelerating Peer Learning in Eye Care

Lumenis launches peer-to-peer learning program aimed at developing practical strategies for modern-day practice

  • May 27, 2026

  • 2 min
Beyond the Diopter: Evolving Your Framework for Refractive Surgery Planning

Corneal health, axial length, and long-term ocular preservation are helpful guides for every refractive conversation

From Babylon to Berlin

Iraqi-born ophthalmologist Hasan Chichan reflects on bridging the divide between modern retina care and humanitarian medicine