V. G. Pavlov, I. Gurevich, A. Tleubaev, V. Yashina, M. H. Durzhinskaya, Arman Khalatyan, D. Petrachkov, M. Budzinskaya, Y. N. Yousef
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引用次数: 0
Abstract
Diabetic retinopathy (DR) is a vision-threatening complication of diabetes mellitus (DM). OCT angiography is the gold standard for diagnostics of microcirculatory changes associated with DR. In this study, AI-based software assessment of OCT-A images was used to analyze images of patients with type 1 diabetes and healthy volunteers. Keywords: diabetic retinopathy, biomarkers, OCT angiography, artificial intelligence
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