Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Bjorn Kaijun BetzlerEvelyn Yi Lyn CheeFeng HeCynthia Ciwei LimJinyi HoHaslina HamzahNgiap Chuan TanGerald LiewGareth J McKayRuth E HoggIan S YoungChing-Yu ChengSu Chi LimAaron Y LeeTien-Yin Wong Mong Li Lee Wynne HsuGavin Siew Wei TanSabanayagam Charumathi

Published in: Journal of the American Medical Informatics Association : JAMIA (2023)

There is potential for DLA using retinal images as a screening adjunct for DKD among individuals with diabetes. This can value-add to existing DLA systems which diagnose diabetic retinopathy from retinal images, facilitating primary screening for DKD.

Keyphrases

diabetic retinopathy
deep learning
optical coherence tomography
type diabetes
convolutional neural network
cardiovascular disease
machine learning
artificial intelligence
glycemic control
optic nerve
wound healing
insulin resistance