Screening for diabetic retinopathy with artificial intelligence: a real world evaluation.

Silvia BurlinaSandra RadinMarzia PoggiatoDario CioccoloniDaniele RaimondoGiovanni RomanelloChiara TommasiSimonetta Lombardi

Published in: Acta diabetologica (2024)

DAIRET showed an optimal sensitivity in detecting all cases of referable DR (moderate DR or above) compared with that of a human grader. On the other hand, the specificity of DAIRET was low because of the high number of false-positives, which limits its cost-effectiveness.

Keyphrases

artificial intelligence
diabetic retinopathy
machine learning
big data
editorial comment
deep learning
optical coherence tomography
endothelial cells
induced pluripotent stem cells
pluripotent stem cells
high intensity
clinical evaluation