AI system to assess CVD risk
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). The findings of this study have given an insight into the development of the artificial intelligence-based system to identify individuals at risk of CVD and provide an earlier intervention. The team has developed and validated an artificial intelligence software to automatically measure retinal-vessel calibre. This novel model delivered superior performance in the estimation of retinal-vessel calibre compared with human assessment. ( Nat Biomed Eng. 2020 Oct 12. doi: 10.1038/s41551-020-00626-4. Online ahead of print.)
Anyone interested in future collaboration in this field of research, you are welcome to contact our key investigator Dr Carol CHEUNG of the Department of Ophthalmology and Visual Sciences, CUHK. Dr Cheung’s research focuses on using ocular imaging technology and artificial intelligence to study human circulation and nervous systems, and link with eye, brain and cardiovascular diseases, in particular, diabetic eye disease, glaucoma, Alzheimer’s disease and stroke.