LuxIA, an AI algorithm co-developed by RetinAI US and non-profit organisation Fundación Ver Salud (FVS), has achieved CE-MDR ...

Today, advancements in medical technology have completely changed how we approach eye care. With faster, more accurate diagnoses and less invasive treatment options, modern eye hospitals are combining ...

Usually referred to as diabetic retinopathy, the chronic illness can cause the blood vessels of our eyes to bleed or even leak yellow fluid into our eyes, thus leading to the appearance of yellow eyes ...

These advancements substantially improve the quality and efficiency of healthcare, particularly in preventing and treating prevalent eye conditions such as cataracts, diabetic retinopathy, glaucoma, ...

As the burden of diabetes continues to rise in India, diabetic retinopathy has emerged as one of its most debilitating complications—often leading to irreversible vision loss if left undiagnosed.

Second, nationwide screening programs for diabetic retinopathy are vital for early detection. This area has seen some strides- with AI models being developed by many (including Google)- to screen ...

Background: Diabetic retinopathy, a major microvascular complication of diabetes ... and medical examinations such as fluorescein fundus angiography (FFA) are required for detection. Only in the ...

It is currently scaling an AI solution that it began piloting in 2022: Digital Diagnostics’ AI system that autonomously diagnoses diabetic retinopathy. The system, called the LumineticsCore ...

Fasting C-peptide (FCP) shows a nonlinear relationship with diabetic retinopathy (DR) risk, with a protective effect below 4.11 ng/mL. Above 4.11 ng/mL, the protective effect of FCP on DR becomes ...