Screening for diabetic retinopathy in diabetic outpatient clinics using arteficial intelligence: a pilot project of the Slovak Diabetes Society

Česká verze

Authors: Viera Doničová
Authors place of work: Interná a diabetologická ambulancia, Košice
Published in the journal: Diab Obez 2023; 23(46): 87-90
Category: Přehledové práce

Summary

The development of technology brings new possibilities for diagnosis and screening of diabetic complications. One of them is the possibility of using a non-mydriatic fundus camera, where the acquired scans of the ocular background are evaluated using artefactual intelligence to assess the presence and degree of diabetic retinopathy. The Slovak Diabetes Society conducted a pilot project in diabetic outpatient clinics and mapped the prevalence of diabetic retinopathy across Slovakia. The project involved 32 diabetes clinics. The overall DR prevalence was 31% in central and eastern Slovakia and 22.5% in western Slovakia.

Keywords:

type 1 diabetes (T1D) – arteficial inteligency (AI) – diabetic retinopathy (DR) – fundus camera – screening of diabetic retinopathy – type 2 diabetes (T2D)

Zdroje

Rajesh AE, Davidson AY, Lee CS. Artificial Intelligence and Diabetic Retinopathy: AI Framework, Prospective Studies, Head-to-head Validation, and Cost-effectiveness. Diabetes Care 2023; 46(10): 1728–1739. Dostupné z DOI: <https://doi.org/10.2337/dci23–0032>.
Vujosevic S, Aldington SJ, Silva P et al. Screening for diabetic retinopathy: new perspectives and challenges. Lancet Diabetes Endocrinol 2020; 8(4): 337–347. Dostupné z DOI: <https://doi/10.1016/S2213–8587(19)30411–5>.
Abramoff MD, Cunningham B, Patel B et al. Collaborative Community on Ophthalmic Imaging Executive Committee and Foundational Principles of Ophthalmic Imaging and Algorithmic Interpretation Working Group. Foundational considerations for artificial intelligence using ophthalmic images. Ophthalmology 2022; 129(2): e14-e32. Dostupné z DOI: <https://doi: 10.1016/j.ophtha.2021.08.023>.