Artificial Intelligence–Assisted Perfusion Density as Biomarker for Screening Diabetic Nephropathy
Xiao Xie,
Wenqi Wang,
Hongyan Wang
et al.
Abstract:Purpose
To identify a reliable biomarker for screening diabetic nephropathy (DN) using artificial intelligence (AI)–assisted ultra-widefield swept-source optical coherence tomography angiography (UWF SS-OCTA).
Methods
This study analyzed data from 169 patients (287 eyes) with type 2 diabetes mellitus (T2DM), resulting in 15,211 individual data points. These data points included basic demographic information, clinical data, and retinal and choroidal data obtained through… Show more
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