Screening for diabetic retinopathy with a non-mydriatic fundus camera using artificial intelligence software

Česká verzia

Authors: Linda Ilavská ^1,3; Alexandra Bražinová ²
Authors place of work: Lekárska fakulta UK v Bratislave (odbor Všeobecné lekárstvo, poslucháčka 4. ročníka) ¹; Ústav epidemiológie LF UK v Bratislave ²; Diabetologická a metabolická ambulancia Medispektrum s. r. o., Bratislava ³
Published in the journal: Diab Obez 2024; 24(48): 131-136
Category: Reviews

Summary

This study evaluates AI-based technology in screening for diabetic retinopathy among patients with type 1, type 2, gestational, and specific diabetes types. Using the non-mydriatic DRSplus^® camera and RetCAD™ software, we analyzed color fundus images in 403 adults from January to March 2024. Diabetic retinopathy was found in 55.6% of type 1 and 31.8% of type 2 patients. No retinopathy was detected in gestational or specific diabetes cases. Our findings suggest that AI technology is a promising tool for effective diabetic retinopathy screening and early diagnosis.

Keywords:

artificial intelligence – Diabetic retinopathy – diabetes mellitus – screening for complication

Zdroje

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