About
Dr Wenyi Hu
Postdoctoral Research Fellow
Dr Wenyi Hu works on the application of AI in ocular and systemic diseases within the emerging field of ‘oculomics’ – aiming to advance AI technology from ‘in silico’ development to real-world implementation.
Dr Wenyi Hu
Postdoctoral Research Fellow
MD, PhD
Dr Wenyi Hu is a Research Fellow in the Ophthalmic Epidemiology Research team at the Centre for Eye Research Australia (CERA). Her research focuses on the application of AI in ocular and systemic diseases – an emerging field known as ‘oculomics’.
During her PhD, she conducted a first-of-its-kind pragmatic trial evaluating the real-world use of AI-powered retinal screening for cardiovascular disease risk in general practice.
She also conducted Australia’s first health economic evaluation of implementing AI for diabetic retinopathy screening, generating evidence to inform the scale-up of AI to enhance access to eye care.
With expertise spanning big data analysis, clinical trials and health economic evaluation, Dr Hu works at the interface of technology development and implementation – aiming to translate AI innovations into practical tools that improve access, efficiency, and health outcomes.
Key research questions
- How can ocular imaging and AI empower the screening, diagnosis and management of ocular and systemic diseases within the emerging field of oculomics?
- How can AI-powered oculomics be effectively implemented in real-world clinical settings and what are the clinical impacts?
- How can AI- powered oculomics improve health equity?
- What is the health economic value of deploying AI-powered oculomics?
Current projects
Selected publications
Key collaborators
Current projects
- Cost-effectiveness of AI- powered oculomics
- Cardiovascular risk assessment through AI-powered retinal models
- AI-powered retinal imaging for preeclampsia risk prediction in early pregnancy
Selected publications
Hu, W., Lin, Z., Clark, M. et al. Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trial. npj Digit. Med. 8, 122 (2025). https://doi.org/10.1038/s41746-025-01436-1
Hu W, Joseph S, Li R, et al. Population impact and cost-effectiveness of artificial intelligence-based diabetic retinopathy screening in people living with diabetes in Australia: a cost effectiveness analysis. EClinicalMedicine. 2024 Jan 10;67:102387. doi: 10.1016/j.eclinm.2023.102387.
Hu W, Yii FSL, Chen R, et al. A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images. Transl Vis Sci Technol. 2023 Jul 3;12(7):14. doi: 10.1167/tvst.12.7.14.
Hu W, Wang W, Wang Y, et al. Retinal age gap as a predictive biomarker of future risk of Parkinson’s disease. Age Ageing. 2022 Mar 1;51(3):afac062. doi: 10.1093/ageing/afac062.
Zhu Z, Wang Y, Qi Z, Hu W, et al. Oculomics: Current concepts and evidence. Prog Retin Eye Res. 2025 May;106:101350. doi: 10.1016/j.preteyeres.2025.101350. (co-first author)
Key collaborators
- Associate Professor Lisa Zhu
- Professor Lyndell Lim
- Associate Professor Zongyuan Ge
- Associate Professor Malcolm Clark
Contact Dr Wenyi Hu
Email: whu@cera.org.au
Leave a direct enquiry for CERA below!
Please note: Unfortunately we are not able to provide individual medical advice over email.