Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank.
Rachel Marjorie Wei Wen TsengTyler Hyung Taek RimEduard ShantsilaJoseph K YiSungha ParkSung Soo KimChan Joo LeeSahil ThakurSimon NusinoviciQingsheng PengHyeonmin KimGeunyoung LeeMarco YuYih-Chung ThamAmeet BakhaiPaul LeesonGregory Y H LipTien Yin WongChing-Yu ChengPublished in: BMC medicine (2023)
Reti-CVD has the potential to identify individuals with ≥ 10% 10-year CVD risk who are likely to benefit from earlier preventative CVD interventions. For borderline-QRISK3 individuals with 10-year CVD risk between 7.5 and 10%, Reti-CVD could be used as a risk enhancer tool to help improve discernment accuracy, especially in adult groups that may be pre-disposed to CVD.