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Artificial Intelligence in Diabetic Retinopathy

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Artificial Intelligence in Ophthalmology

Abstract

Over the last four decades the number of people living with diabetes has more than quadrupled from 108 million in 1980 to an estimated 422 million in 2014. At the same time diabetes prevalence among adults has almost doubled to 8.5% [1]. Future projections estimate that, by 2035, 592 million people will have diabetes, with the largest rise in low- and middle-income regions [2]. There is no doubt that diabetes constitutes a significant problem for global health and wellbeing. It is a disease that is prevalent all over the world, in the affluent, resource rich countries and much poorer developing countries. Diabetes can cause a number of significant complications, each of them associated with significant morbidity, requiring different, highly qualified medical personnel to diagnose and treat them. This poses a challenge for the local health services which often struggle with either delivering or funding the appropriate care.

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Authors and Affiliations

  1. Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland

    Andrzej Grzybowski

  2. Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland

    Andrzej Grzybowski

  3. Department of Ophthalmology, Poznan City Hospital, Poznan, Poland

    Piotr Brona

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  1. Andrzej Grzybowski
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  2. Piotr Brona
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  1. Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland

    Andrzej Grzybowski

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Grzybowski, A., Brona, P. (2021). Artificial Intelligence in Diabetic Retinopathy. In: Grzybowski, A. (eds) Artificial Intelligence in Ophthalmology. Springer, Cham. https://doi.org/10.1007/978-3-030-78601-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-78601-4_11

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