Diabetic retinopathy screening with confocal fundus camera and artificial intelligence - assisted grading
Purpose Screening for diabetic retinopathy (DR) by ophthalmologists is costly and labour-intensive. Artificial Intelligence (AI) for automated DR detection could be a clinically and economically alternative. We assessed the performance of a confocal fundus imaging system (DRSplus, Centervue SpA), coupled with an AI algorithm (RetCAD, Thirona B.V.) in a real-world setting. Methods 45° non-mydriatic retinal […]
Read more ›