About
Dr Zachary Tan
Senior Research Fellow, Ophthalmic Epidemiology
Dr Zachary Tan is a medical practitioner leading research projects at CERA involving retinal photography and artificial intelligence.
Dr Zachary Tan
Senior Research Fellow, Ophthalmic Epidemiology
BSc, MBBS, GCBusLead, MMed, MMSc
Dr Zachary Tan is a medical practitioner with educational background in ophthalmology, healthcare leadership and experience in digital health. He was previously the Bloomberg Fellow at Schwarzman Scholars.
He is a Senior Research Fellow at CERA, working in our World Health Organization Collaborating Centre for the Prevention of Blindness to develop, engage and lead high quality research projects.
Dr Tan is primarily involved with research aimed at identifying early eye disease through the integration of retinal photography and artificial intelligence. He has a particular interest in translational applications of artificial intelligence and novel screening models that improve access to eye disease care.
Key research questions
- How can we develop artificial intelligence tools that are more accurate and reliable for eye disease diagnosis?
- How do we use artificial intelligence tools to improve patient access to eye disease care, including in rural and indigenous Australian settings?
- How do we use artificial intelligence tools to better predict systemic disease risk using findings from the eye?
Current projects
Selected publications
Current projects
- Improved Early Diagnosis Of Eye Diseases By Integration Of Retinal Photography And Artificial Intelligence To Build An Opportunistic Screening Service In Endocrinology And Primary Care Settings
- National Eye And Systemic Diseases Data Linkage Cohort
- Artificial Intelligence System To Detect Eye And Cardiovascular Diseases
Selected publications
Tan Z, Scheetz J, He M. Artificial Intelligence in Ophthalmology: Accuracy, Challenges, and Clinical Application. The Asia-Pacific Journal of Ophthalmology 2019;8(3). DOI: 10.22608/APO.2019122
Tan Z, Simkin S, Lai C, Dai S. Deep learning algorithm for automated diagnosis of retinopathy of prematurity plus disease. Translational Vision Science & Technology. 2019 Nov 1;8(6):23-. doi: 10.1167/tvst.8.6.23
Tan Z, Chong C, Darlow B, Dai S. Visual impairment due to retinopathy of prematurity (ROP) in New Zealand: a 22-year review. British Journal of Ophthalmology. 2015 Jun 1;99(6):801-6. DOI: 10.1136/bjophthalmol-2014-305913
He M, Li Z, Liu C, Shi D, Tan Z. Deployment of Artificial Intelligence in Real-World Practice: Opportunity and Challenge. The Asia-Pacific Journal of Ophthalmology. 2020 Jul 1;9(4):299-307. doi: 10.1097/APO.0000000000000301
See more publications
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