Smoking status, blood pressure, age and other cardiovascular risk factors can be predicted from retinal images by using deep learning.
References
Ho, H. et al. Sci. Rep. 7, 41492 (2017).
Cheung, C. Y. et al. Stroke 44, 2402–2408 (2013).
Yip, W. et al. Sci. Rep. 7, 9374 (2017).
Wong, T. Y., Knudtson, M. D., Klein, R., Klein, B. E. & Hubbard, L. D. Am. J. Epidemiol. 159, 819–825 (2004).
McGeechan, K. et al. Ann. Intern. Med. 151, 404–413 (2009).
Yip, W. et al. Sci. Rep. 6, 27442 (2016).
Poplin, R. et al. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-018-0195-0 (2018).
Brynjolfsson, E. & Mcafee, A. What’s driving the machine learning explosion? Harvard Business Review (18 July 2017).
Ting, D. S. W. et al. JAMA 318, 2211–2223 (2017).
Gulshan, V. et al. JAMA 316, 2402–2410 (2016).
Wong, T. Y. & Bressler, N. M. JAMA 316, 2366–2367 (2016).
Lakhani, P. & Sundaram, B. Radiology 284, 574–582 (2017).
Ting, D. S. W., Yi, P. H. & Hui, F. Radiology 286, 729–731 (2018).
Esteva, A. et al. Nature 542, 115–118 (2017).
Ehteshami Bejnordi, B. et al. JAMA 318, 2199–2210 (2017).
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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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DOI: https://doi.org/10.1038/s41551-018-0210-5
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