Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke.
Alicja Regina RudnickaRoshan WelikalaSarah BarmanPaul J FosterRobert N LubenShabina A HayatKay-Tee KhawPeter WhincupDavid StrachanChristopher G OwenPublished in: The British journal of ophthalmology (2022)
RV offers an alternative predictive biomarker to traditional risk-scores for vascular health, without the need for blood sampling or blood pressure measurement. Further work is needed to examine RV in population screening to triage individuals at high-risk.
Keyphrases
- artificial intelligence
- mycobacterium tuberculosis
- blood pressure
- machine learning
- big data
- deep learning
- emergency department
- healthcare
- public health
- atrial fibrillation
- optical coherence tomography
- cardiovascular events
- heart failure
- diabetic retinopathy
- mental health
- left ventricular
- health information
- extracorporeal membrane oxygenation
- risk factors
- cardiovascular disease
- type diabetes
- health promotion
- metabolic syndrome
- cerebral ischemia
- blood brain barrier
- weight loss
- breast cancer risk