Prof Tien Yin Wong
Professor of Medical AI and Ophthalmology
Position: Vice-Provost, Tsinghua University & Senior Vice-Chancellor, Tsinghua Medicine
Specialization: Artificial Intelligence in Ophthalmology, Diabetic Retinopathy, Medical Imaging
Affiliation: Tsinghua Medicine, Tsinghua University
Biography
Prof Wong is a physician-scientist, and an internationally renowned retinal specialist, with a clinical practice focused on macular and retinal diseases, including diabetic retinopathy and age-related macular degeneration, retinal vascular diseases and myopic macular degeneration. Prof Wong leads an inter-disciplinary research program on epidemiological, translational and clinical research on retinal diseases and ocular imaging. He has published >1500 papers, with papers in the New England Journal of Medicine, the Lancet, JAMA, Annals Internal Medicine, Nature and Nature Medicine. He is Highly Cited Researcher (top 1%, 2018, 2020, 2021, 2022, 2023). He has given >500 invited named, plenary, and symposium lectures, and received >US$50 million in grant funding. He is a two-times recipient of the Singapore Translational Researcher (STaR) Award (2008, 2014), the highest award for senior clinician-scientists.
Key Research Areas
- AI-based detection of diabetic retinopathy and other eye diseases
- Retinal imaging-based cardiovascular risk assessment
- AI applications for Alzheimer's disease detection
- Deep learning systems for chronic kidney disease screening
- Teleophthalmology and AI-based screening programs
Selected Publications
- Li J, Guan Z, Wang J, Cheung CY, ..., Wong TY * . Integrated image-based deep learning and language models for primary diabetes care. Nat Med. 2024.
- Ma WZ, Sheng B, Yang L, ..., Wong TY* . Evolution of Future Medical AI Models – From Task-Specific, Disease-Centric to Universal Health. New England Journal of Medicine AI 2024.
- Dai L, Sheng B, Chen T, ..., Wong TY * . A deep learning system for predicting time to progression of diabetic retinopathy. Nat Med. 2023.
- Cheung CY, Ran AR, Wang S, ..., Wong TY * . A deep learning model for detection of Alzheimer's disease based on retinal photographs. Lancet Digit Health 2022.
- Cheung CY, Xu D, Cheng CY, ..., Wong TY * . A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre. Nat Biomed Eng 2020.
Notable Contributions
- Development of AI systems for diabetic retinopathy screening across multiethnic populations
- Creation of deep learning algorithms for chronic kidney disease detection from retinal photographs
- Research on AI for early detection of Alzheimer's disease using retinal imaging
- Establishment of international guidelines for diabetic eye care
- Leadership in the integration of retinal imaging and AI for cardiovascular risk assessment