Research summary
Global eye-disease epidemiology and one deep-learning paper form this set. Systematic review and meta-analysis of myopia and high-myopia prevalence using data published since 1995 produced 2000–2050 temporal projections by 5-year age groups and rural/urban populations across countries, standardized by definition [1]. A pre-2013 systematic review and meta-analysis of population-based age-related macular degeneration studies (using retinal photographs and standardized grading) integrated worldwide prevalence and projected disease burden to 2020 and 2040 [2]. A pooled individual-participant analysis of population-based diabetes/diabetic-retinopathy studies estimated DR, proliferative DR, diabetic macular edema, and vision-threatening DR prevalence with major systemic risk factors among people with diabetes worldwide [3]. A 1980–2014 systematic review and meta-analysis of population-based causes of vision impairment and blindness modeled cause-specific contributions from 1990–2015 and forecast to 2020, disaggregated by cause [4]. A separate Lancet Global Health paper modeled magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment with hierarchical fits across 1980–2015 datasets, stratified by age, country, sex, and presenting visual acuity bands (mild: worse than 6/12 to 6/18; moderate-to-severe: worse than 6/18 to 3/60) [6]. A JAMA paper trained and evaluated a deep learning system on 494,661 retinal images (DR training set of 76,370, glaucoma 125,189, AMD 72,610) for referable DR, vision-threatening DR, possible glaucoma, and AMD detection across community and clinic-based multiethnic populations with diabetes [5]. The works together build the epidemiological case base that defines global eye-care priorities and the AI-screening tools that act on them.
Recent publications
- Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040DOI
- Global Prevalence of Myopia and High Myopia and Temporal Trends from 2000 through 2050DOI
- Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysisDOI
- Global Prevalence and Major Risk Factors of Diabetic RetinopathyDOI
- Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysisDOI
- Diabetic retinopathyDOI
- Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With DiabetesDOI
- Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysisDOI
- Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045DOI
- Age-related macular degenerationDOI
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Email Tien Yin Wong 6-12 months before your application deadline. Read several recent papers and reference specific work in your message. Use our how to email a Japanese professor guide for the proven email structure.
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External profiles
- ORCID: https://orcid.org/0000-0002-8448-1264
- OpenAlex: openalex.org
Profile compiled from public sources (Researchmap, OpenAlex, Osaka University faculty directory). Last refreshed 2026-05. Report incorrect information.