Artificial intelligence in diabetic retinopathy screening: clinical assessment using handheld fundus camera in a real-life setting.

Marco LupidiLuca DanieliDaniela FruttiniMichele NicolaiNicola LassandroJay ChhablaniCesare Mariotti

Published in: Acta diabetologica (2023)

The Aurora fundus camera is effective in a first line screening of DR. Its in-built AI software can be considered a reliable tool to automatically identify the presence of signs of DR and therefore employed as a promising resource in large screening campaigns.

Keyphrases

diabetic retinopathy
artificial intelligence
machine learning
optical coherence tomography
big data
deep learning
convolutional neural network
editorial comment
high resolution