Results 251 to 260 of about 344,007 (291)
Natural antioxidant products and nanomaterial-based delivery systems for the amelioration of diabetic retinopathy: mechanisms, applications, and translational perspectives. [PDF]
Tao Y +8 more
europepmc +1 more source
Abstract Purpose To investigate the longitudinal development of refraction and strabismus in a national cohort of children born extremely preterm (EPT) and find relations to perinatal events and neurodevelopmental outcomes. Methods All surviving children born <27‐gestation weeks in Sweden during April 2004–March 2007, and full‐term born matched ...
D. Tsamadou +12 more
wiley +1 more source
A Comprehensive Meta-Analysis: Unveiling the Link between Apolipoprotein E and Diabetic Retinopathy. [PDF]
Bhardwaj P +6 more
europepmc +1 more source
Longitudinal progression of retinal nonperfusion in clinically stable diabetic retinopathy
Abstract Purpose To longitudinally assess and quantify changes in retinal nonperfusion (NP) in clinically stable diabetic retinopathy (DR) using ultra‐widefield fluorescein angiography (UWF‐FA) and optical coherence tomography angiography (OCTA). Methods Fifty‐one eyes from thirty‐three patients were followed for a mean of 15.9 ± 11.4 months.
Stela Vujosevic +8 more
wiley +1 more source
Deep Learning Assessment of Intraretinal Microvascular Abnormalities in Diabetic Retinopathy on Swept-Source OCT Angiography. [PDF]
Lo PQ +22 more
europepmc +1 more source
Abstract Background Manual diabetic retinopathy (DR) grading may prefer certain regions and underestimate others. It is unclear if inexperienced graders' initial marking strategy reflects a specialist's marking pattern. Aims By the virtual ocular learning platform (VIOLA), we evaluated if initial DR‐lesion markings among inexperienced graders spatially
Simon Joel Ellerup Lowater +5 more
wiley +1 more source
Abstract Purpose Diabetic retinopathy (DR) screening is essential to prevent vision loss, yet rising diabetes prevalence threatens to outpace ophthalmology capacity. Artificial intelligence (AI) systems can triage retinal images to reduce clinician workload, but economic evidence from high‐income, tax‐funded health systems remains limited.
Lars Grønlykke +7 more
wiley +1 more source
Artificial intelligence for early detection of diabetic retinopathy: A vision transformer-based approach. [PDF]
ElAdel A, Filali I, Zaied M.
europepmc +1 more source

