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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

Sub-specialties: 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
  • Senior Consultant SNEC Eye Clinic @ CGH Changi General HospitalChangi General Hospital

Academic Appointments

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

Profile

Dr Daniel Ting is the current Associate Professor in Ophthalmology with Duke-NUS Medical School in Singapore. Graduated as the SingHealth Residency Valedictorian in 2016 (across all specialties), he started his vitreo-fellowship training as an Associate Consultant in the Singapore National Eye Centre. In 2017, he was chosen to be the 2017 US-ASEAN Fulbright Scholar, representing Singapore to visit Johns Hopkins University (JHU) School of Medicine and Applied Physics Laboratory to deepen his understanding on the use of artificial intelligence, big data analytics and telemedicine in the field of Ophthalmology. 

In collaboration with several leading eye centres globally (USA, Mexico, China, Hong Kong, Australia, Singapore), Assoc Prof Daniel and team have developed and validated a novel and robust artificial intelligence (AI) system using deep learning to detect referable diabetic retinopathy (DR), referable glaucoma suspect (GS) and age-related macular degeneration (AMD). The study findings were recently published in the Journal of American Medical Association (JAMA) (Ting et al, JAMA Dec 2017). Assoc Prof Daniel has also been awarded an approximately USD 1 Million Research Grant from the Singapore National Medical Research Council to help to build an AI-integrated system for the Singapore national DR screening program. Apart from DR screening, he is also actively researching on the utilization of AI and retinal imaging in predicting current and future micro- and macro-vascular complications for population with diabetes. 
 
Academically, Assoc Prof Daniel has shown stellar performance in clinical, surgical, research and leadership during his Ophthalmology residency period with Singapore National Eye Centre and SingHealth Duke-NUS Medical School. Academically, he maintained the 1st ranking nationally in the US-based exam, Ophthalmic Knowledge Assessment Program-International (OKAPI), for 3 consecutive years from 2012 to 2014. In 2013, he was awarded the prestigious UK FRCOphth McCartney Prize, an award given to the world’s highest score in Ophthalmic Pathology. He is also the inaugural SNEC Richard Fan Gold Medal Award winner in 2014. Throughout his residency years, he has won a total of 9 SingHealth RISE Awards in SNEC, including the Outstanding Resident Award (2014 and 2015), Young Inspiring Resident Award (2014), ITE award (2012, 2013 and 2014), Young Educator Award (2013) and Residents’ Committee Award (2013, 2014). He has also been awarded the Young Innovator Grant (2017) and Singapore General Hospital Young Investigator Award (2017) for his work in Artificial Intelligence and Diabetes Eye Diseases. Leadership wise, he is the Chairman of the SingHealth Residents’ Committee, representing and leading >1000 residents in education, humanitarian, research and welfare initiatives. As part of the National Health Care Leadership College/ Ministry of Health initiatives to nurture the future health care leaders of Singapore, he was nominated 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. 
 
He completed his PhD entitled ‘Novel Imaging Technology for Diabetic Retinopathy (DR)’ with the University of Western Australia. One of the scientific findings on ‘Retinal Video Recording: A Novel Method to Diagnose Diabetic Retinopathy’ has scored multiple media releases in Australia, United States and was ranked the top story of Medscape Ophthalmology in 2011. Moreover, he has evaluated several novel methods to capture and read retinal images, using portable retinal cameras and tablets. His study results have also contributed to the paradigm shift in DR screening, going from heavy, immobile and costly retinal cameras to the light, portable and economical ones, enabling many more patients with easier and earlier access to DR screening to prevent blindness. For retinal research, he has published extensively in high impact journals, including JAMA, Lancet, Nature Biomedical Engineering, Ophthalmology, JAMA Ophthalmology and American Journal of Ophthalmology. He also serves as a reviewer in several high impact journals, including Diabetes Medicine, Diabetes Care, Hypertension, Ophthalmology, American Journal of Ophthalmology, JAMA Ophthalmology, Investigative Ophthalmology and Visual Sciences and Retina. He is also an external grant reviewer for the artificial intelligence grant in Ophthalmology. 

Education

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

Professional Appointments and Committee Memberships

  • Member, American Academy of Ophthalmology (AAO) (2017 – present)
  • Mentor, SingHealth Resident Leadership Program (SRLP) (2017 - present)
  • Mentor, Singapore Fulbright Association (2017 - present)
  • Member, Asia-Pacific Tele-Ophthalmology Society (2016 - present)
  • Member, Business Transformation Committee, Singapore National Eye Centre (2016 - present)
  • Member, SingHealth Duke-NUS Strategy Retreat Taskforce – Improving Lives through Research (2016 - present)
  • Mentor, Singapore Chief Residency Program (SCRP) (2016 - present)
  • Member, The Association for Research in Vision and Ophthalmology (ARVO) (2015 - present)
  • Member, Singapore Society of Ophthalmology (2015 - present)
  • Member, Education Research Committee, Singapore National Eye Centre (2015 - present)
  • Member, Vision Save for Education Committee, Singapore National Eye Centre (2015 - present)
  • Member, Asia-Pacific Academy of Ophthalmology (APAO) (2012 - present)

Awards

  • Young Ophthalmologists' Research Award, Asia-Pacific Academy of Ophthalmology (APAO) (2018)
  • US-ASEAN Fulbright Scholar to Johns Hopkins University (2017/2018)
  • Young Investigator Award, Singapore General Hospital Annual Scientific Meeting (2017)
  • Best Poster Presentation Award, Macula Symposium, Singapore (2017)
  • Young Innovator Award, Asia-Pacific Tele-Ophthalmology Conference, Hong Kong (2017)
  • Valedictorian, SingHealth Residency (across entire graduation cohort of 86 residents) (2016)
  • Outstanding Chief Resident Award, SingHealth (2016)
  • Doctor of Philosophy, University of Western Australia (2015)
  • Outstanding Resident, SingHealth Excels (RiSE) Awards (2015)
  • Inspiring Resident Educator Award, SingHealth Excels (RiSE) Awards (2015)
  • Richard Fan Gold Medal Award, Singapore National Eye Centre (2014)
  • Khoo Scholar Award, AMRI, DUKE-NUS (2014)
  • 1st ranking nationally in Intermediate Training Exam (ITE), OKAPI, USA (2014)
  • Outstanding Resident, SingHealth Excels (RiSE) Awards (2014)
  • Outstanding Performance for Intermediate/In-training Exams, SingHealth Excels (RiSE) Awards (2014)
  • Inspiring Resident Educator Award, SingHealth Excels (RiSE) Awards (2014)
  • Resident Committee Award, SingHealth Excels (RiSE) Awards (2014)
  • McCartney Prize (World's highest score in Ophthalmic Pathology), FRCOphth, United Kingdom (2013)
  • 1st ranking nationally in Intermediate Training Exam (ITE) – OKAPI, USA (2013)
  • Outstanding Performance for In-training Examination (ITE), SingHealth Excels (RiSE) Awards (2013)
  • Outstanding Young Educator Award, SingHealth Excels (RiSE) Awards (2013)
  • Resident Committee Award, SingHealth Excels (RiSE) Awards (2013)

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, Tan 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

  2. Ting DSW, Wong TY. Proliferative Diabetic Retinopathy: Laser versus Anti-vascular Growth Factor Therapy. Lancet. 2017; 17: 31194-7

  3. Ting DSW, Yi P, Hui F. Clinical Applicability of Deep Learning System in Detecting Tuberculosis using Chest Radiography. Radiology. 2018: 286(2):729-731

  4. Yi P, Hui F. and Ting DSW. Artificial Intelligence and Radiology: Collaboration is Key. J Am Col Radiol. 2018; 1440 (18):30001-2

  5. Ting DSW, Yanagi Y, Agrawal R, Teo HY, Yeo IYS, Mathur R, Lee SY, Wong D, Wong EYM, Wong TY, Cheung CM. Choroidal Vascular and Structural Changes for Age-related Macular Degeneration and Polypoidal Choroidal Vasculopathy: A 12-month Prospective Study. 2017. Scientific Report. 7: 7868. doi: 10.1038/s41598-017-08276-4

  6. Ting DSW, Tan GSW. Telemedicine for Diabetic Retinopathy Screening. 2017. JAMA Ophthalmol. doi:10.1001/jamaophthalmol.2017.1257

  7. Ting DSW, Tan GSW, Agrawal R, Yanagi Y, Cheung CM and Wong TY. Optical Coherence Tomography Angiogram for Diabetes and Diabetic Retinopathy. JAMA Ophthalmology. 2017. doi:10.1001/jamaophthalmol.2016.5877

  8. Ting DSW, Tan K, Phua V, Tan G, Wong CW and Wong TY. Biomarkers of Diabetic Retinopathy. Curr Diab Rep. 2016; 16: 125. doi:10.1007/s11892-016-0812-9

  9. Ting DSW, Ng WY, Ng SR, et al. Choroidal Thickness Changes after Anti-vascular Endothelial Growth Factor Therapy for Age-Related Macular Degeneration and Polypoidal Choroidal Vasculopathy: A 12-month Prospective Cohort Study. American Journal of Ophthalmology. 2016. 164:128-136

  10. Ting DSW, Lu V, Tan GSW and Wong EYM. Good Visual Recovery Following A Prolonged 5-month Subfoveal Retained Perfluoro-N-Octane (PFNO). Int J Ophthalmol. 2016. [In Press]

  11. Ting DSW, Sim SKP, Yau CWL, Aw AT, Rosman M, Yeo IYS. Ophthalmology Simulation for Residency Training. International Journal of Ophthalmology. 2016. Int J Ophthalmol 18: 920-4

  12. Ting DSW, Cheung G, Mohla A and Yeo I. Deep Range Imaging Optical Coherence Tomography (DRI-OCT): A Novel Imaging Technique for Polypoidal Choroidal Vasculopathy. 2015. Clin Experiment Ophthalmol. Jul 17. doi: 10.1111/ceo.12580. [Epub ahead of print]

  13. Ting DSW, Tan GSW, Ng WY, Yeo IYS, Lim L, Wong EYM, Ong SG, Ang CL and Lee SY. The Surgical Outcomes, Complications and Predictive Surgical Factors of Diabetic Retinopathy Vitrectomy in A Large Asian Tertiary Eye Center. 2015. J Clin Exp Ophthalmol. 6:494

  14. Ting DSW, Cheung GCM, Wong TY. Diabetic Eye Diseases: The Global Prevalence, Major Risk Factors, Screening Practices and Public Health Challenges. Clin Experiment Ophthalmol. 2015. Dec 30. doi: 10.1111/ceo.12696. [Epub ahead of print]

  15. Ting DSW, Tay-Kearney ML, Constable I, Vignarajan J and Kanagasingam Y. Retinal Video Recordings at different compression levels: a novel video-based imaging technology for diabetic retinopathy screening. Eye (Lond). 2013. July 27(7): 848-53. doi: 10.1038/eye.2013.53. Epub 2013 May 10

  16. Ting DSW, Tay-Kearney ML, Vignarajan J and Kanagasingam Y. Diabetic Retinopathy Screening: Can the Viewing Monitor Influence the Reading and Grading Outcomes. Eye (Lond). 2012 Dec;26 (12):1511-6. doi: 10.1038/eye.2012.180. Epub 2012 Oct 12

  17. Ting DSW, Tay-Kearney ML, Lim L, Constable I, Preen D and Kanagasingam Y. Light and Portable Novel Device for Diabetic Retinopathy Screening. Clin Experiment Ophthalmol. 2012 Jan-Feb;40(1):e40-6. doi: 10.1111/j.1442-9071.2011.02732.x. Epub 2011 Dec 23

  18. Ting DSW, Tay-Kearney ML, Lim L, Constable I, Preen D and Kanagasingam Y. Retinal Video Recording: A New Way To Diagnose and Image Diabetic Retinopathy Screening. Ophthalmology 2011;118:1588-1593

  19. Ting DSW, Ng J, Morlet N, Yuen J, Clark A, Taylor H, Preen DB. Diabetic Retinopathy Management by Australian General Practitioners. Aust Fam Physician 2011;40:233-238

  20. Ting DSW, Ng J, Morlet N, Yuen J, Clark A, Taylor H, Preen DB. Diabetic Retinopathy Management by Australian Optometrists. Clin Experiment Ophthalmol. 2011;39:230-235

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