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DOI：10.1016/j.jacbts.2026.101596.png)
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Abstract
En 中文
• AI retinal image analysis was applied to 8,467 healthy adults. • Twelve quantitative retinal vascular traits were extracted. • Retinal vascular features were strongly linked to cardiometabolic risk. • Retinal features improved prediction of future cardiovascular events. • Retinal imaging may enable noninvasive cardiovascular risk prediction.
Keywords:
average width
retina
vessel density
AHI
apnea/hypopnea index
AI
artificial intelligence
AUC
area under the ROC curve
BMI
body mass index
CGM
continuous glucose monitoring
CHD
coronary heart disease
CI
confidence interval
CV
coefficient of variation
CVD
cardiovascular disease
DXA
dual-energy x-ray absorptiometry
HbA1c
hemoglobin A1C
HDL
high-density lipoprotein
HPP
Human Phenome Project
LDL
low-density lipoproteins
PAT
peripheral arterial tone
ODI
oxygen desaturation index
RDI
respiratory disturbance index
ROC
receiver operating characteristic
UKBB
UK Biobank
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