The AEYE Health AI model performs better than human experts, diagnosing diabetes from otherwise healthy retinas.
The AYEYE Health solution requires only a single image per eye which shortens the screening process to one minute and increases its practicality and seamlessness. In addition, it delivers a diagnostic result for patients while rarely requiring dilation, making it the first practical solution for use in primary care settings.
Dr. James Ledwith, assistant professor of Family Medicine and Community Health at UMass, added the perspective of primary physicians: “The use of a compact retinal camera and AEYE Health software in our practice will assure that every patient can be screened during one of their routine visits each year. We anticipate that physicians using this technology will improve screening performance from 30-35 percent to 80 percent or more.
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