Results 221 to 230 of about 781,057 (345)
ABSTRACT Artificial intelligence (AI) has comparable accuracy to ophthalmologists for diabetic retinopathy (DR) screening, yet its cost‐effectiveness is crucial for implementation. Our review of 18 health economic analyses of AI versus manual grading for DR found significant methodological variation, with cost‐utility analysis and Markov modelling ...
James Leigh +3 more
wiley +1 more source
Retinal Sensitivity and Retinal Perfusion in Diabetic Retinopathy.
Hamilton-Perais JA +7 more
europepmc +1 more source
Awareness of screening for diabetic retinopathy. [PDF]
Singh R.
europepmc +1 more source
Visual Function Assessment in Geographic Atrophy: A Review
ABSTRACT Geographic atrophy (GA) causes significant vision impairment and reduction in vision‐related quality of life. Fundus autofluorescence (FAF) is the gold standard of structural assessment of GA but is a surrogate marker for vision loss, which can be assessed by tests of visual function and functional vision.
Ye Li, Lauren N. Ayton, Adrian T. Fung
wiley +1 more source
In the oxygen‐induced retinopathy (OIR) mouse model, two distinct microglial subpopulations play opposing roles: highly glycolytic microglia (HGM) promote neovascular formation via Pkm2, while Mrc1/CD206‐positive phagocytosis‐associated microglia (PAM) facilitate its regression.
Yuan Ma +20 more
wiley +1 more source
Review of the Quality and Reliability of Online Arabic Content on Diabetic Retinopathy: Infodemiological Study. [PDF]
Alabdrabulridha AA +7 more
europepmc +1 more source
Abstract Aim Type 2 diabetes (T2D) in pregnancy is increasingly common and associated with suboptimal outcomes for these women and their children. We aimed to synthesize observational evidence on associations of modifiable preconception, pregnancy and postpartum risk factors with perinatal outcomes among women with pregestational T2D.
Danielle Schoenaker +11 more
wiley +1 more source
Assessment of Correlation Between Diabetic Retinopathy and Metabolic Biomarkers Using Artificial Intelligence. [PDF]
Aydemir M +5 more
europepmc +1 more source
Abstract Aims People with diabetes who are admitted to hospital are at risk of adverse in‐hospital outcomes due to glycaemic dysregulation. Both the prevalence of diabetes and adverse outcomes are higher in rural and regional hospitals where infrastructure is more limited.
Giuliana Murfet +7 more
wiley +1 more source

