Diabetes is a
disease characterized by high levels of blood glucose. It is important to keep diabetes under control to avoid short- and long-term complications. Diabetes can affect vision due to the alterations it produces in the blood vessels of the
retina. This is known as
Diabetic Retinopathy (DR), which is one of the leading causes of
impaired vision in developed countries. One of the complications of
diabetic retinopathy is
Diabetic Macular Edema (DME), which is the leading cause of vision loss in diabetic patients and can appear at any stage of
diabetic retinopathy. This consists of the gradual accumulation of fluid in the macula, the most important area of the
retina. The determination of diabetic
macular oedema is very important for the
retina. The determination of diabetic
macular oedema is very important for adequate treatment of this condition. A variety of technological options are used for detecting
diabetic retinopathy, although only the most sophisticated detect
macular oedema, a complication that appears as a consequence of diabetic
retinopathy and is one of the leading causes of
blindness. The invention describes a portable
system for detecting diabetic macular oedema by capturing a
fundus image using a portable ophthalmoscope; said image is sent via wired or
wireless means to an
embedded system that has an
algorithm based on
artificial intelligence, which extracts information from the image and processes same to identify the presence of the condition being studied.