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MACHINE LEARNING

Eyeing cardiovascular risk factors

Nature Biomedical Engineering volume 2, pages 140–141 (2018)Cite this article

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Smoking status, blood pressure, age and other cardiovascular risk factors can be predicted from retinal images by using deep learning.

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Fig. 1: Anatomical regions in retinal fundus images associated with predictions from the deep-learning algorithm.

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Authors and Affiliations

  1. Singapore Eye Research Institute, Singapore National Eye Center, Duke-NUS Medical School and National University of Singapore, Singapore, Singapore

    Daniel Shu Wei Ting & Tien Yin Wong

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  1. Daniel Shu Wei Ting
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  2. Tien Yin Wong
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Correspondence to Daniel Shu Wei Ting or Tien Yin Wong.

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Competing interests

D.S.W.T. and T.Y.W. are co-developers of a deep-learning system for diabetic retinopathy, glaucoma and age-related macular degeneration.

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Ting, D.S.W., Wong, T.Y. Eyeing cardiovascular risk factors. Nat Biomed Eng 2, 140–141 (2018). https://doi.org/10.1038/s41551-018-0210-5

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