Prediction of postoperative visual acuity after vitrectomy for macular hole using deep learning-based artificial intelligence.

Shumpei ObataYusuke IchiyamaMasashi KakinokiOsamu SawadaYoshitsugu SaishinTaku ItoMari TomiokaMasahito Ohji

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2021)

Postoperative VA after MH treatment could be predicted via DL using preoperative OCT images with greater accuracy than multivariate linear regression using preoperative VA, MH size, and age.

Keyphrases

deep learning
artificial intelligence
patients undergoing
diabetic retinopathy
optical coherence tomography
big data
machine learning
convolutional neural network
data analysis
combination therapy
cataract surgery
age related macular degeneration