Retinal AI

A window into cardiovascular risk

Retinal vascular features helped stratify cardiovascular risk in people with chronic kidney disease.

Conceptual illustration of Retinal AI

The clinical question

People with chronic kidney disease have heterogeneous cardiovascular risk. Retinal images offer a noninvasive view of the microvasculature.

The approach

The CARE-CKD study used deep learning to segment retinal vessels and machine learning to evaluate vascular features alongside clinical markers.

What the study adds

Retinal features added information for cardiovascular risk assessment in the CRIC cohort.

The next question

How well do these features generalize to other populations and prospective clinical settings?

Explore the source publication for study design, estimates, limitations, and full author contributions.

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