Meteda, together with its subsidiary Retmarker, has developed DAIRET®, an artificial intelligence-based algorithm that allows the identification of retinal defects through the automatic analysis of photographic images. acquired using retinographs.
Based on a decade of clinical data, DAIRET® has been validated in large epidemiological and cost-effectiveness studies, demonstrating high levels of sensitivity and specificity in detecting lesions typical of diabetic retinopathy.
It is a tool to support the prevention of one of the most feared complications of diabetes, which allows clinicians to integrate early assessment of retinal risk into daily practice, facilitating the identification of cases requiring further ophthalmological evaluation.
Chronic Diseases, Diabetes, Artificial intelligence
Diabetic retinopathy is one of the most serious complications of diabetes.
5 October 2025