[HTML][HTML] Oxidative stress and its regulation in diabetic retinopathy

CD Haydinger, GF Oliver, LM Ashander, JR Smith - Antioxidants, 2023 - mdpi.com
Diabetic retinopathy is the retinal disease associated with hyperglycemia in patients who
suffer from type 1 or type 2 diabetes. It includes maculopathy, involving the central retina and …

[HTML][HTML] Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study

P Ruamviboonsuk, R Tiwari, R Sayres… - The Lancet Digital …, 2022 - thelancet.com
Background Diabetic retinopathy is a leading cause of preventable blindness, especially in
low-income and middle-income countries (LMICs). Deep-learning systems have the …

[HTML][HTML] Searching for the antioxidant, anti-inflammatory, and neuroprotective potential of natural food and nutritional supplements for ocular health in the …

M Valero-Vello, C Peris-Martínez, JJ García-Medina… - Foods, 2021 - mdpi.com
Adherence to a healthy diet offers a valuable intervention to compete against the increasing
cases of ocular diseases worldwide, such as dry eye disorders, myopia progression …

A comparison of two-stage classifier algorithm with ensemble techniques on detection of diabetic retinopathy

AT Nagi, MJ Awan, R Javed… - 2021 1st International …, 2021 - ieeexplore.ieee.org
The Diabetic retinopathy is disease of the human eye that causes retinal damage in diabetic
patients. It further leads to the blindness. The machine learning techniques plays an …

[HTML][HTML] A computer-aided diagnostic system to identify diabetic retinopathy, utilizing a modified compact convolutional transformer and low-resolution images to …

IU Khan, MAK Raiaan, K Fatema, S Azam, R Rashid… - Biomedicines, 2023 - mdpi.com
Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes
worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present …

A multitask deep-learning system to classify diabetic macular edema for different optical coherence tomography devices: a multicenter analysis

F Tang, X Wang, A Ran, CKM Chan, M Ho… - Diabetes …, 2021 - Am Diabetes Assoc
OBJECTIVE Diabetic macular edema (DME) is the primary cause of vision loss among
individuals with diabetes mellitus (DM). We developed, validated, and tested a deep …

[HTML][HTML] Dietary supplements in retinal diseases, glaucoma, and other ocular conditions

MC Medori, Z Naureen, K Dhuli, G Placidi… - Journal of Preventive …, 2022 - ncbi.nlm.nih.gov
Environmental pollution, inadequate eating habits and unhealthy lifestyles have led to a
tremendous increase in ocular diseases worldwide. Given the costly treatments that are …

[HTML][HTML] Support vector machine and deep-learning object detection for localisation of hard exudates

V Kurilová, J Goga, M Oravec, J Pavlovičová… - Scientific Reports, 2021 - nature.com
Hard exudates are one of the main clinical findings in the retinal images of patients with
diabetic retinopathy. Detecting them early significantly impacts the treatment of underlying …

[HTML][HTML] Present and future screening programs for diabetic retinopathy: a narrative review

A Abou Taha, S Dinesen, AS Vergmann… - International Journal of …, 2024 - Springer
Diabetes is a prevalent global concern, with an estimated 12% of the global adult population
affected by 2045. Diabetic retinopathy (DR), a sight-threatening complication, has spurred …

[HTML][HTML] Using artificial intelligence for diabetic retinopathy screening: Policy implications

R Raman, D Dasgupta, K Ramasamy… - Indian Journal of …, 2021 - journals.lww.com
Artificial intelligence (AI) has evolved over the last few years; its use in DR screening has
been demonstrated in multiple evidences across the globe. However, there are concerns …