Big data and advanced artificial intelligence technologies are a key focus of our ophthalmic epidemiology research. In one major project, our world-leading scientists have developed deep learning systems to screen for common blinding eye diseases including diabetic retinopathy, age-related macular degeneration and glaucoma, as well cardiovascular disease risk and other conditions associated with ageing. These technologies have been trialled in clinical environments such as GP clinics, endocrinology clinics, cardiology clinics and primary health facilities in remote Aboriginal communities. In another major project, working with an industry partner we are combining a low-cost, portable and fully automatic retinal camera with artificial intelligence screening software to detect 'red flags' in people experiencing potentially life-threatening headaches. Our team used deep learning to develop prediction models for diabetic retinopathy, age-related macular degeneration and glaucoma. We have also established a national data linkage project linking ocular imaging data to systemic health diagnostic codes for the purposes of exploring retinal biomarkers of systemic disease. Other key population health projects at CERA include the first National Eye Health Survey – a study into the prevalence and causes of vision impairment in non-Indigenous and Indigenous Australians – and initiatives to increase participation in diabetic eye disease screening, such as KeepSight. CERA is proud to be designated a WHO Collaborating Centre for the Prevention of Blindness, the only such centre in Australia.