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

Ehsan VaghefiSongyang AnRini CorbettDavid Squirrell
Published in: Optometry and vision science : official publication of the American Academy of Optometry (2024)
In this cross-sectional cohort study, increasing CVD risk whether assessed by traditional biomarkers, CVD risk scoring, or our DL cardiac BioAge, CVD risk model, was inversely related to LTL. At a population level, our data support the growing body of evidence that suggests LTL shortening is a surrogate marker for increasing CVD risk and that this risk can be captured by our novel DL cardiac BioAge model.
Keyphrases
  • deep learning
  • cross sectional
  • left ventricular
  • diabetic retinopathy
  • electronic health record
  • optical coherence tomography
  • artificial intelligence