Skip Ribbon Commands
Skip to main content
Menu
Assoc Prof Daniel Ting Shu Wei

Assoc Prof Ting

​MBBS (Hons), M Med(Ophth), FAMS, PhD (UWA)

Senior Consultant

Singapore National Eye Centre

Specialty: Surgical Retina, Cataract & Comprehensive Ophthalmology

Clinical Interest: Surgical Retina, Cataract & Comprehensive Ophthalmology

Clinical Appointments

  • Senior Consultant Surgical Retina Department Singapore National Eye CentreSingapore National Eye Centre
  • Senior Consultant Cataract & Comprehensive Ophthalmology Department Singapore National Eye CentreSingapore National Eye Centre
  • Chief Data and Digital Officer (CDDO) Singapore National Eye CentreSingapore National Eye Centre

Academic Appointments

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

Profile

Assoc Prof Daniel Ting is a senior consultant vitreo-retinal surgeon with the Singapore National Eye Centre (SNEC) and concurrently, Associate Professor, SingHealth Duke-NUS Ophthalmology & Visual Sciences Academic Clinical Programme (ACP) and Adjunct Clinical Associate Professor and an Innovation Mentor at Stanford University.

He is also the Director of Singapore Health Service (SingHealth) AI Office, SNEC Chief Data and Digital Officer, and Head of AI and Digital Innovation in Singapore Eye Research Institute (SERI). After graduating as the SingHealth Valedictorian across all specialties, he was awarded the US-ASEAN J. William Fulbright Scholarship to Johns Hopkins University School of Medicine and Applied Physics Laboratory to pursue the use of artificial intelligence, big data analytics and telemedicine in the field of ophthalmology. 

Assoc Prof Ting is trained in cataract and retina surgery, having undergone local and international surgical fellowship in SNEC, Wilmer Eye Institute at the Johns Hopkins University in the US and Moorfields Eye Hospital in UK.

Assoc Prof Ting consults complex eye and retina conditions, and also performs comprehensive and complex cataract and vitreo-retinal surgeries, such as age-related macular degeneration, diabetic eye conditions, retinal detachment, macular surgeries for epiretinal membrane, vitreo-macular retinal diseases, myopia-related retinal complications, etc. He is an expert in utilising AI and digital technology for both diagnostic and therapeutic domains in ophthalmology to achieve optimum clinical outcomes for patients. 

Assoc Prof Ting has excelled in clinical, surgical, research and leadership abilities since his residency. He maintained 1st place nationally in the Ophthalmic Knowledge Assessment Program-International (OKAPI), a US-based exam, for 3 consecutive years from 2012 to 2014. In 2013, he was awarded the UK FRCOphth McCartney Prize, which is conferred to the world’s highest score in ophthalmic pathology.

He also received a total of 10 awards throughout his residency, including the inaugural SNEC Richard Fan Gold Medal Award, SingHealth RISE Awards for being Outstanding Resident, Young Inspiring Resident, Intermediate Training Examination, Young Educator Award and Outstanding SingHealth Residents’ Committee. As part of the National Health Care Leadership College/ Ministry of Health initiative to nurture future health care leaders in Singapore, he was selected as the inaugural SingHealth Ophthalmology Chief Resident to join the Singapore National Chief Residency Program in 2015, and was subsequently awarded the Outstanding Chief Resident Award in 2016. 

To date, Assoc Prof Ting has published over 250 publications in peer reviewed journals, book chapters, educational articles and conference abstracts in high impact journals such as JAMA, NEJM, Lancet, Nature Medicine, Nature Biomedical Engineering, Lancet Digital Health, Progress in Retinal and Eye Research, Diabetes Care, Nature Digital Medicine, Ophthalmology, etc. Assoc Prof Ting serves in several leadership positions at the eye and AI societies, including the American Academy of Ophthalmology AI and Retina Ophthalmology Technology Assessment committees. He also chairs the AI and Digital Innovation Standing Committee for the Asia-Pacific Academy of Ophthalmology and Asia-Pacific Vitreo-Retinal Society. He serves on   numerous advisory and editorial boards in the top-tiered digital and medical journals, including Lancet Digital Health, Frontiers in Medicine, Frontiers in Digital Health and Asia-Pacific Journal of Ophthalmology; Section Editor in British Journal of Ophthalmology and Editorial Board Member in Ophthalmology, Ophthalmology Retina, Ophthalmology Science, British Journal of Ophthalmology, Asia-Pacific Journal of Ophthalmology and Retina. 

Assoc Prof Ting has won a number of scientific awards conferred by international AI and ophthalmology societies, including Tatler Asia Gen T Award (2021), Singapore National Clinician Scientist Award (2021), Asia-Pacific Academy Ophthalmology (APAO) Nakajima Award (2021), Asia-Pacific Vitreo-Retinal Society (APVRS) Ian Constable Award (2021), MICCAI OMIA Prestigious Achievement Award (2020), ARVO Bert Glaser Award for Innovative Research in Retina (2020), USA Macula Society Evangelos Gragoudas Award (2019), APAO Young Ophthalmologist’s Award (2018) and APTOS Young Innovator Award (2017). Worldwide, he is ranked the top AI and retinal expert by the Expertscape (2021 to 2023), Stanford University World’s Top 2% Scientists (2021 to 2023) and Top 100 Ophthalmologists Power List by the Ophthalmologists (2021 to 2024).


Education

  • FAMS (2016)
  • PhD (UWA) (2015)
  • M Med(Ophth) (2014)
  • MBBS (Hons) (2007)

Professional Appointments and Committee Memberships

  • Member, Macula Society (2022 – present)
  • Member, Retina Society (2022 – present)
  • International Committee Member, Vit-Buckle Society (2022 – present)
  • Chair, AI and Digital Innovation Standing Committee, Asia-Pacific Academy of Ophthalmology (APAO) (2021 - present)
  • EXCO, AI Committee, American Academy of Ophthalmology (AAO) (2020 – present)
  • EXCO, STARD-AI (2020 – present)
  • EXCO, DECIDE-AI (2020 – present)
  • EXCO, QUADAS-AI (2020 – present)
  • Member, EURETINA (2020 – present)
  • Member, International Retinal Imaging Society (2020 – present)
  • Member, The Association for Research in Vision and Ophthalmology (ARVO) (2014 - present)
  • Member, Asia-Pacific Cataract and Refractive Society (APACRS) (2013 - present)
  • Member, Singapore Society of Ophthalmology (2013 - present)

Awards

2024
  • Top 100 Ophthalmology Power List, The Ophthalmologist
  • Ranked 1st Most Cited Articles, Asia-Pacific Journal of Ophthalmology
2023
  • Sparks Digital Award, CIO Academy, Singapore
  • Ranked Top 10 globally in deep learning (3rd) and artificial intelligence (6th), machine learning (11th) and blockchain (47th), Expertscape (2012 - 2023)
  • Top 100 Ophthalmologists 
  • Top 100 Ophthalmology Power List, The Ophthalmologists (Global)
  • Research Award, Retina Society 
  • Top 2% World Scientist, Stanford University
2022
  • Ranked Top 10 globally in deep learning (2nd), artificial intelligence (4th) and machine learning, Expertscape (2011 - 2022)
  • Top 2% Ranking for clinical and AI domain, Stanford University
  • Top 100 Ophthalmology Power List, The Ophthalmologist 
  • SingHealth Duke-NUS Research Team Award
  • Member, Macula Society
  • Member, Retina Society
2021
  • Ranked Top 10 globally in deep learning (1st), artificial intelligence and machine learning, Expertscape (2011 - 2021)
  • Nakajima Award, Asia-Pacific Academy of Ophthalmology (APAO)
  • Ian Constable Award, Asia Pacific Vitreo-Retinal Society (APAO)
  • Generation T Award, Tatler Asia
  • Clinician Scientist Award, NMRC Singapore
2020
  • Bert M Glaser Award, Innovative Research for Retina, ARVO, USA
  • OMIA Prestigious Achievement Award of Ophthalmic Image Analysis, MICCAI 2020
2019
  • Evangelos S Gragoudas Award, Macula Society, USA
  • Achievement Award, APAO, Thailand
  • Travel Grant Award, Korean Ophthalmology Society, South Korea
2018
  • Finalist (Singapore representative), Science Prize for Innovation, Research and Education, Asia-Pacific Economy Cooperation (APEC)
  • Finalist, Singapore National Academy Science Young Scientist Award
  • Young Ophthalmologists’ Award, Asia-Pacific Academy of Ophthalmology
  • SingHealth Service Quality Silver Award
  • SingHealth Excellence Distinguished Young Researcher Award
  • Fulbrighter (June)
  • SingHealth Publish Award
2017
  • US-ASEAN Fulbright Scholar, Johns Hopkins University 
  • Young Investigator Award, Singapore General Hospital Annual Scientific Meeting
  • Best Poster Presentation Award, Macula Symposium, Singapore
  • Young Innovator Award, Asia-Pacific Tele-Ophthalmology Conference, Hong Kong
  • SingHealth Service Quality “You Shine” Award
2016
  • Valedictorian, SingHealth Residency
  • SingHealth Outstanding Chief Resident Award
2015
  • Doctor of Philosophy, University of Western Australia
  • SingHealth Outstanding Resident RISE Award
  • SingHealth Inspiring Resident-Educator RISE Award
2014
  • Richard Fan Gold Medal Award 
  • Khoo Scholar Award, AMRI, Duke-NUS 
  • 1st ranking nationally in Intermediate Training Exam (ITE), OKAPI, USA
  • SingHealth Outstanding Resident RISE Award 
  • SingHealth Intermediate/In-training Exam RISE Award
  • SingHealth Inspiring Resident-Educator RISE Award
  • SingHealth Residents’ Committee RISE Award
2013
  • McCartney Prize (World’s highest score in Ophthalmic Pathology), FRCOphth, United Kingdom
  • 1st Ranking (National), Intermediate Training Exam (ITE), OKAPI, USA
  • SingHealth In-training Examination (ITE) RISE Award
  • SingHealth Young Educator RISE Award
  • SingHealth Residents’ Committee RISE Award
2012
  • 1st Ranking (National), Intermediate Training Exam (ITE), OKAPI, USA

Research Interests

  • Artificial Intelligence
  • Surgical innovation, health and medical technologies
  • Retina diseases – Diabetic retinopathy, age-related macular degeneration, retinal vein occlusion
  • Retinal and choroidal imaging
  • Clinical trials
  • Big data analytics

Publications

  1. Ting DSW, Cheung CCY, Lim G, et al. Development and Validation of a Deep Learning System for Diabetes-related Eye Diseases using Retinal Images from Multi-ethnic Populations with Diabetes. JAMA. 2017; 318 (22): 2211-2223 [IF: 157.3]

  2. Ting DSW, Carin L, Dzau V, Wong TY. Digital Technology and COVID-19. Nat Med. 2020; 26: 459-461. [IF: 87.2]

  3. Ting DSW, Yong L, Burlina P, Xu X, Bressler N, Wong TY. AI for Medical Imaging Goes Deep. Nature Medicine. 2018; 24: 539-540. [IF: 87.2]

  4. Teo ZL, Ting DSW. Non-fungible tokens for the management of health data. Nat Med, 2023;1-2 [IF 87.2]

  5. Teo ZL, Ting DSW. AI Telemedicine Screening in Ophthalmology: Health Economic Considerations. Lancet Global Health. 2023. [IF: 39.5]

  6. Xie Y, Nguyen QD, Hamzah H, Lim G, Bellemo V, Gunasekeran DV, Yip MYT, Qi Lee X, Hsu W, Li Lee M, Tan CS, Tym Wong H, Lamoureux EL, Tan GSW, Wong TY, Finkelstein EA, Ting DSW. Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study. Lancet Digit Health. 2020 May;2(5):e240-e249 [IF: 36.6]

  7. Bellemo V, Lim Z, Lim G, Nguyen Q, Xie Y, Yip M, Hamzah H, Ho J, Lee XQ, Hsu W, Lee M, Musonda L, Chandran M, Chipalo-Mutati G, Muma M, Tan G, Sivaprasad S, Menon G, Wong TY, Ting DSW. Artificial Intelligence using Deep Learning to Screen for Referable and Vision-threatening Diabetic Retinopathy in Africa. Lancet Digital Health. 2019; 1: 35-44. [IF: 36.6]

  8. Tan TE, Anees A, Chen C, Li S, Xu X, Li Z, Xiao Z, Yang Y, Lei X, Ang M, Chia A…Ting DSW. Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study. The Lancet Digital Health. 2021 May 1;3(5):e317-29. [IF: 36.6]

  9. Ng WY, Tan TE, Movva P, Fang A, Yeo K, Ho D, Foo F, Xiao Z, Sun K, Wong TY, Sia A, Ting DSW. Blockchain applications in healthcare for COVID-19 and beyond: a systematic review. Lancet Digital Health. 2021 [epub ahead] [IF: 36.6]

  10. Ting DSW, Peng L, Varadarajan A, Keane P, Burlina B, Chiang M, Schmetterer L, Pasquale L, Bressler N, Abramoff M, Wong TY. Deep Learning in Ophthalmology: Clinical and Technical Considerations. Progress in Retinal and Eye Research. 2019; 72:100759. doi: 10.1016/j.preteyeres.2019.04.003 [IF: 18.3]

  11. Li OJP, Liu H, Ting DSJ, Joen S, Chan P, Kim J, Sim D, Thomas P, Lin H, Chen Y, Sakomoto T, Lowenstein, Lam D, Pasquale, Wong TY, Lam L, Ting DSW. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective. Progress in Retinal and Eye Research, 2021; 82:100900. [IF: 18.3]


Research Trials

  • NMRC Health Service Research Grant - 2018 - Application and Evaluation of an Artificial Intelligence Deep Learning System to Detect Referable and Sight-threatening Retinal Diseases in the Singapore Integrated Diabetic Retinopathy Screening Programme (SiDRP): Screening Performance and Cost-effectiveness Analysis – Principal Investigator

  • SingHealth Research Foundation Health Service Research Grant – 2018 - Clinical and Cost-effectiveness Analysis on Artificial Intelligence using Deep Learning System for Diabetic Retinopathy Screening – Principal Investigator

  • OF-LCG ‘DYNAMO – 2017 - Diabetes study in Nephropathy And other Microvascular cOmplications.’ - Collaborator (Machine Learning Clinical Lead) 

  • NMRC Transition Award - 2017 - Novel Multimodal Imaging in Moderate Diabetic Retinopathy to Predict Vision-threatening Stages of Retinopathy – Co-Investigator

  • Eye Academic Clinical Program (ACP) Talent Development Grant - 2016 - Novel Vascular Imaging in Diabetic Retinopathy: An Optical Coherence Tomography Angiogram (OCT-A) Study – Principal Investigator

  • SingHealth Research Foundation Start-up Grant - 2016 - Singapore Eye Lesion Analyzer (SELENA): A Novel Automated Imaging Technology for Diabetic Retinopathy Screening – Principal Investigator

  • AMEI Education Grant: - 2016 - The use of EyeSi Virtual Reality Surgical Simulator in Cataract Surgical Training of Ophthalmology Residents. – Principal Investigator

  • NMRC, NHIC Innovation to Develop “I2D” Grant: - 2015 - Optimization of SELENA – an automated, real time detection tool for early detection of Diabetic Retinopathy – Co Investigator