Association of retinal image-based, deep learning cardiac BioAge with telomere length and cardiovascular biomarkers.

Journal: Optometry and vision science : official publication of the American Academy of Optometry
PMID: 38935034

Abstract

SIGNIFICANCE: Our retinal image-based deep learning (DL) cardiac biological age (BioAge) model could facilitate fast, accurate, noninvasive screening for cardiovascular disease (CVD) in novel community settings and thus improve outcome with those with limited access to health care services.

Authors

  • Ehsan Vaghefi
    School of Optometry and Vision Science, University of Auckland, Auckland, New Zealand.
  • Songyang An
    School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand.
  • Rini Corbett
    Toku Eyes, Auckland, New Zealand.
  • David Squirrell
    School of Optometry and Vision Science, University of Auckland, Auckland, New Zealand.

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