Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 32 n° 220

First National Retinal and Diabetic Maculopathy Prevention and Diagnosis Campaign

Posted by fidest press agency su lunedì, 16 settembre 2019

Eyenuk Inc., a global artificial intelligence (AI) medical technology and services company and the leader in real-world applications for AI Eye Screening™, announced today that the EyeArt® AI Eye Screening System was deployed successfully for Italy’s first national prevention and diagnosis campaign for retinal and diabetic maculopathy. A total of 2,200 patients were screened at 30 centers across Italy, with more than half chosen for EyeArt AI Eye Screening. The Month of Prevention of Diabetic Retinopathy and Maculopathy was sponsored by the Italian Ministry of Health, the city of Milan and the Italian Ophthalmology Society in collaboration with the Ambrosian Ophthalmic Center (CAMO), San Raffaele Hospital and Eyenuk.In Italy, an estimated 3.2 million patients have diabetes. As many as 25% are estimated to be affected by diabetic retinopathy (DR),1 the main cause of vision impairment and blindness among working-age adults. DR occurs when high blood sugar levels lead to damage of the blood vessels in the light-sensitive tissue at the back of the eye, called the retina. Annual eye screening is recommended for people with diabetes since DR can progress silently without any perceptible symptoms or vision deterioration.The EyeArt AI System uses artificial intelligence algorithms to autonomously analyze images of the eye taken with a retinal camera. Of the patients who underwent EyeArt AI Eye Screening, 214 patients were identified as having referable DR never diagnosed before; all were referred to eye care specialists to save their vision. The EyeArt AI System is the most extensively validated AI technology for autonomous detection of DR to date, tested in real-world settings on more than a half-million patient visits with more than 2 million images collected globally. In a prospective, pivotal clinical trial on more than 900 patients, the EyeArt System was shown to have 95.5% sensitivity and 86% specificity for detecting referable DR.The EyeArt AI System allows diabetes care providers to quickly and accurately identify patients with referable DR, without needing eye care expertise on-site, so at-risk patients can be immediately referred to an ophthalmologist for further evaluation and vision-saving treatment. The EyeArt AI System removes the biggest obstacles to annual DR screening and diagnosis: timely access to screening and patient compliance.Eyenuk will showcase its EyeArt AI Eye Screening System at the European Association for the Study of Diabetes (EASD) annual meeting (Booth #D.02) Sept. 16-20, 2019, in Barcelona, Spain.


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