Yih Chung Tham

Research interests

Publications

• A deep learning system for predicting time to progression of diabetic retinopathy

  Nature Medicine · 2024 · https://doi.org/10.1038/s41591-023-02702-z

• The Singapore National Precision Medicine Strategy

  Nature Genetics · 2023 · https://doi.org/10.1038/s41588-022-01274-x

• Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

  EBioMedicine · 2023 · https://doi.org/10.1016/j.ebiom.2023.104770

• Large language models and their impact in ophthalmology

  The Lancet Digital Health · 2023 · https://doi.org/10.1016/s2589-7500(23)00201-7

• A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

  The Lancet Digital Health · 2022 · https://doi.org/10.1016/s2589-7500(22)00169-8

• Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies

  npj Digital Medicine · 2021 · https://doi.org/10.1038/s41746-021-00412-9

• Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

  The Lancet Digital Health · 2021 · https://doi.org/10.1016/s2589-7500(21)00043-1

• Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045

  Ophthalmology · 2021 · https://doi.org/10.1016/j.ophtha.2021.04.027

• Logistic regression was as good as machine learning for predicting major chronic diseases

  Journal of Clinical Epidemiology · 2020 · https://doi.org/10.1016/j.jclinepi.2020.03.002

• A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre

  Nature Biomedical Engineering · 2020 · https://doi.org/10.1038/s41551-020-00626-4

• A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

  The Lancet Digital Health · 2020 · https://doi.org/10.1016/s2589-7500(20)30063-7

• Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms

  The Lancet Digital Health · 2020 · https://doi.org/10.1016/s2589-7500(20)30216-8

• Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error

  Nature Genetics · 2018 · https://doi.org/10.1038/s41588-018-0127-7

• New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics.

  Human Molecular Genetics · 2016 · https://doi.org/10.1093/hmg/ddw399

• Glaucoma in Asia: regional prevalence variations and future projections

  British Journal of Ophthalmology · 2015 · https://doi.org/10.1136/bjophthalmol-2014-306102

• Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040

  Ophthalmology · 2014 · https://doi.org/10.1016/j.ophtha.2014.05.013

Current projects

No projects listed.