Ophthalmic image acquired by ophthalmologists and by allied health personnel as part of a telemedicine strategy: a comparative study of image quality.

Aline Lutz de AraujoDimitris Rucks Varvaki RadosAnelise Decavatá SzortykaMaicon FalavignaTaís de Campos MoreiraLisiane HauserPaula Blasco GrossAndrea Longoni LorentzLucas MaturroFelipe CabralAna Luiza Fontes de Azevedo CostaThiago Gonçalves Dos Santos MartinsRodolfo Souza da SilvaPaulo SchorErno HarzheimMarcelo Rodrigues GonçalvesRoberto Nunes Umpierre

Published in: Eye (London, England) (2020)

Ophthalmic photographs acquired by a trained technician consistently achieved >90% adequacy for remote reading. Compared with ophthalmologist-acquired photos, the proportion of images deemed suitable achieved a high overall agreement. These findings provide favorable evidence of the adequacy of teleophthalmological imaging by nurse technicians.

Keyphrases

image quality
deep learning
healthcare
computed tomography
public health
high resolution
primary care
mental health
working memory
convolutional neural network
optical coherence tomography
machine learning
contrast enhanced