Correlation of limited-early-response status with 12-month CST, BVA, and machine learning-quantified retinal fluid in diabetic macular oedema in routine clinical practice.

Resya C SastryScott W PerkinsAneesha KalurRishi P Singh

Published in: Eye (London, England) (2024)

BVA and CST M12 outcomes vary by aLER/aER status indicating that CST may be a strong predictor of treatment outcomes, while retinal fluid volumes were not predicted by LER status.

Keyphrases

optical coherence tomography
clinical practice
diabetic retinopathy
machine learning
type diabetes
artificial intelligence
metabolic syndrome
skeletal muscle
glycemic control