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Dr Rim Tyler

Dr Rim Tyler


Academic Appointments

  • Assistant Professor SingHealth Duke-NUS Ophthalmology & Visual Sciences Academic Clinical Programme


​Dr Tyler Hyungtaek Rim is currently a Clinician Scientist in Singapore Eye Research Institute (SERI) and Singapore National Eye Centre (SNEC). He obtained his Doctor of Medicine degree in 2006 and specialist accreditation in Ophthalmology in 2014 from South Korea. Previously, he was an Assistant Professor of Ophthalmology at Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

As a severance-trained vitreoretinal surgeon, Dr Rim taught the latest minimal-invasive vitrectomy techniques and complex cataract management between 2016 and 2019 before relocating to Singapore. His research area is focused on data science, including conventional statistics, epidemiology, big data analytics, and machine learning in the field of ophthalmology.

He has published more than fifty scientific papers including those published in The Lancet Digital Health, NPJ digital medicine, Ophthalmology, JAMA Ophthalmology, Stroke, Journal of Hypertension, and International Journal of Cardiology, as the first or a corresponding author. He is a co-founder of a medical artificial intelligence startup, Medi Whale Inc., where he and his team developed an automated reading system of retinal photographs and an algorithm for prediction of coronary artery calcium score based on retinal images via deep learning.


  • PhD (Ophthalmology, Yonsei Univ, Korea) (2020)
  • MBA (2013)
  • BS (Information Statistics) (2009)
  • MD (2006)
  • BS (Chemistry) (2002)

Professional Appointments and Committee Memberships

  • ​Editorial Board Member, Ophthalmic Epidemiology (2020)
  • Member, Association for Research in Vision and Ophthalmology (ARVO) (2012)
  • Member, Asia–Pacific Academy of Ophthalmology (APAO) (2012)
  • Member, Asia–Pacific Vitreoretinal Society (APVRS) (2016)
  • Member, Asia-Pacific Teleophthalmology (APTOS) (2018)
  • Member, Asian Eye Epidemiology Consortium (AEEC) (2018)
  • Member, Asia Pacific Association for Medical Informatics (APAMI) (2016)
  • Member, Healthcare Information and Management Systems Society (HIMSS) (2017)
  • Member, Korean Ophthalmological Society (KOS) (2010)
  • Member, Korean Retina Society (KRS) (2016)
  • Member, Korean Uveitis Society (KUS) (2016)
  • Member, Korean Society of Medical Informatics (KOSMI) (2017)


  • ​Excellence Academic Award, Yonsei University, Graduate School, Korea (2020)
  • Retinal Academic Award, Korean Retinal Society (2019)
  • Best Research Award, Yonsei University, Graduate School, Korea (2019)
  • The Future Physician Awards, LG Chem (2017)
  • Best Research Award (Myung–Gok Award), Severance Eye Alumni Society (2017)
  • Best Research Award, National Health Insurance Service, Ilsan Hospital (2016)
  • Best Research Award, Korean National Health Insurance Service – Big Data Symposium (2016)
  • Best Poster Award, Annual Meeting (114th) of the Korean Ophthalmological Society (2015)
  • Best Poster Award, Annual Meeting (113th) of the Korean Ophthalmological Society (2015)
  • The 2013 Resident Excellence Award, Department of Ophthalmology, Severance hospital (2013)

Research Interests

  • ​Machine Learning
  • Big data analytics
  • Epidemiology
  • Medical Informatics


  1. TH Rim, G Lee, et al. Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms; The Lancet Digital Health 2 (10), e526-e536​
  2. TH Rim, Aaron Lee, et al. Detection of Features Associated with Neovascular Age-Related Macular Degeneration in Ethnically Distinct Datasets by an Optical Coherence Tomography – Trained Deep Learning Algorithm; British J. Ophthalmology 2020 (accepted)
  3. TH Rim, Kawasaki Ryo, et al. Prevalence and Pattern of Geographic Atrophy in Asia: the Asian Eye Epidemiology Consortium; Ophthalmology 2020 (e-pub)
  4. TH Rim, Zhi Da Soh, et al. Deep learning for automated sorting of retinal photographs; Ophthalmology Retina 2020; 4 (8): 793-800.
  5. TK Yoo, …, TH Rim (last); Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level; Translational Vision Science & Technology 2020; 9 (2), 8-8
  6. TK Yoo, …, TH Rim (last). Adopting machine learning to automatically identify candidate patients for corneal refractive surgery. npj Digital Medicine 2019; 2 (1), 59
    Eric Topol Twitter: Using #AI to find the people who will benefit most —or who are prone to complications—from an operation.;
    NEWS: AI Identifies Whether a Patient is a Good Candidate for Laser Eye Surgery by Jack Carfagno, Docwire
  7. M Yu, YC Tham, TH Rim (co-first), DSW Ting, TY Wong, CY Cheng. Reporting on deep learning algorithms in health care; The Lancet Digital Health 2019; 1 (7), e328-e329
  8. Rim TH, Yoo TK, Kwak J, et al. Long-term Regular Use of Low-Dose Aspirin and Neovascular Age-related Macular Degeneration: National Sample Cohort 2010-2015. Ophthalmology 2019; 126 (2), 274-282; Editorial “Techniques for improving ophthalmic studies performed on administrative databases” in Ophthalmic Epidemiology.
  9. Rim TH, Kim HS, Kwak J, Lee JS, Kim DW, Kim SS. Five-Year Incidence of Central Serous Chorioretinopathy and Associated Use of Corticosteroids in South Korea: National Sample Cohort 2011–2015. JAMA ophthalmology 2018; 136 (10), 1164-1169
  10. Rim TH, Kim HK, Kim JW, Lee JS, Kim DW, Kim SS. A Nationwide Cohort Study on the Association Between Past Physical Activity and Neovascular Age-Related Macular Degeneration in an East Asian Population. JAMA ophthalmology. 2018;136(2):132-139.;
    NEWS: Vigorous Exercise Tied to Macular Degeneration in Men by Nicholas Bakalar, The New York Times
  11. Rim TH, Lee SY, Kim SH, Kim SS, Kim CY. Increased incidence of open-angle glaucoma among hypertensive patients: an 11-year nationwide retrospective cohort study. Journal of hypertension. 2017;35(4):729-736.; Editorial “Leveraging nationwide health databases to strengthen research on risk factors”.
  12. JY Choi, …, TH Rim (corr) Multi-categorical deep learning neural network to classify retinal images: a pilot study employing small database. PloS one 2017; 12 (11)
  13. Rim TH, Oh J, Kang S-M, Kim SS. Association between retinal vein occlusion and risk of heart failure: A 12-year nationwide cohort study. International journal of cardiology. 2016; 217:122-127.
  14. Rim TH, Han J, Choi YS, et al. Retinal artery occlusion and the risk of stroke development: twelve-year nationwide cohort study. Stroke (Editor’s Pick). 2016;47(2):376-382.
  15. Rim TH, Lee CS, Lee SC, Chung B, Kim SS. Influence of visual acuity on suicidal ideation, suicide attempts and depression in South Korea. British J. Ophthalmology. 2015: bjophthalmol-2014-306518.;
    NEWS: Vision loss increases risk for thoughts of suicide by Sherren Lehman, REUTERS
  16. Rim TH, Kim DW, Han JS, Chung EJ. Retinal vein occlusion and the risk of stroke development: a 9-year nationwide population-based study. Ophthalmology. 2015;122(6):1187-1194.;
    NEWS: Retinal Vein Occlusion Associated with Stroke by Lara C. Pullen, Medscape

Research Trials

  • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH (A*STAR); 1st Singapore-South Korea Academic-Industry (2+2) International Collaboration; 450,000 SGD (SG) + 691,000 SGD (KR); “Implementation of Community-based Elderly Health Care for Eye and Systemic Diseases Using Automated Screening” (2020-2021)
  • SingHealth Duke-NUS Academic Medicine (AM) & National Health Innovation Centre Joint MedTech Grant Call FY2020; 100,000 SGD; “From Machine to Machine - Developing a Deep Learning Algorithm for Quantification of Ocular Traits based on Retinal Photographs” (2020-2021)
  • Prevalence and risk factors for under corrected refractive errors among South Korean: KNHANES 2008-2012 (2016-2017)
  • A Nationwide Cohort Study of Past Physical Activity and Neovascular Age-Related Macular Degeneration in East Asian Men (2017-2018)