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Review
. 2022 Dec;59(12):1521-1530.
doi: 10.1007/s00592-022-01941-9. Epub 2022 Aug 12.

Digital innovations for retinal care in diabetic retinopathy

Stela Vujosevic  1   2 , Celeste Limoli  3   4 , Livio Luzi  5   6 , Paolo Nucci  7
Affiliations
Review

Digital innovations for retinal care in diabetic retinopathy

Stela Vujosevic et al. Acta Diabetol. 2022 Dec.

Abstract

Aim: The purpose of this review is to examine the applications of novel digital technology domains for the screening and management of patients with diabetic retinopathy (DR).

Methods: A PubMed engine search was performed, using the terms "Telemedicine", "Digital health", "Telehealth", "Telescreening", "Artificial intelligence", "Deep learning", "Smartphone", "Triage", "Screening", "Home-based", "Monitoring", "Ophthalmology", "Diabetes", "Diabetic Retinopathy", "Retinal imaging". Full-text English language studies from January 1, 2010, to February 1, 2022, and reference lists were considered for the conceptual framework of this review.

Results: Diabetes mellitus and its eye complications, including DR, are particularly well suited to digital technologies, providing an ideal model for telehealth initiatives and real-world applications. The current development in the adoption of telemedicine, artificial intelligence and remote monitoring as an alternative to or in addition to traditional forms of care will be discussed.

Conclusions: Advances in digital health have created an ecosystem ripe for telemedicine in the field of DR to thrive. Stakeholders and policymakers should adopt a participatory approach to ensure sustained implementation of these technologies after the COVID-19 pandemic. This article belongs to the Topical Collection "Diabetic Eye Disease", managed by Giuseppe Querques.

Keywords: Artificial intelligence; Diabetes mellitus; Diabetic retinopathy; Digital health; Telemedicine; Teleophthalmology.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Essential building blocks for AI-assisted DR teleophthalmology screening
See this image and copyright information in PMC

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