Associate Professor Daniel Ting is a Senior Consultant in the Surgical Retina Department at SNEC, Associate Professor in Ophthalmology with Duke-NUS Medical School, Director of Cluster AI Program at SingHealth, Head of AI and Digital Innovation at SERI and Associate Professor (Courtesy) with NUS Biomedical Engineering.
A/Prof Ting is actively involved in the Healthcare AI space at the global setting, serving in several AI executive committees (STARD-AI, DECIDE-AI, American Academy of Ophthalmology) and AI editorial boards (NPJ Digital Medicine, Frontiers in Medicine and Digital Health). As a clinician scientist, to date, he has published >200 peer-reviewed papers in highly prestigious journals such as JAMA, NEJM, Lancet, Nature Medicine and etc, and recently been ranked the world’s most influential deep learning researcher across clinical and technical domains in healthcare for the past 10 years (2010-2021) by the ExpertScape.
A/Prof Ting was also recognized by many top-tiered international AI and ophthalmology societies in winning many prestigious scientific awards, including the Asia Pacific Academy of Ophthalmology Nakajima Award(2021), MICCAI OMIA Prestigious Achievement Award (2020), ARVO Bert Glaser Award for Innovative Research in Retina (2020) etc. He was also the visiting Fulbright Scholar to Johns Hopkins University in 2017.
Research Interests
- Artificial Intelligence
- Big data analytics
- Internet of Things
- Blockchain and AI chatbot using natural language processing and speech recognition
- Ting DSW, Carin L, Dzau V, Wong TY. Digital technology and COVID-19. Nature Medicine. 2020 [IF: 36.1]
- Li F, Song D, Chen H, et al., Ting DSW. Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection (i-Glaucoma): a multi-center study. NPJ Digital Medicine. 2020
- Yip M, Lim G, Lim ZW, et al., Ting DSW. Technical and Image-related Factors Influencing Performance of Clinical Deployment of Deep Learning Algorithms for Diabetic Retinopathy Screening. NPJ Digital Medicine. 2020
- Xie YC, Nguyen Q, Hamzah H, et al., Ting DSW. Artificial Intelligence for Teleophthalmolgy-based Diabetic Retinopathy Screening in a National Program: A Modelled Economic Analysis Study. Lancet Digital Health. 2020
- Ting DSW, Peng L, Varadarajan A, et al. Deep Learning in Ophthalmology: Clinical and Technical Considerations. Progress in Retinal and Eye Research. 2019
- Ting DSW, Lee A, Wong TY. An Ophthalmologist’s Guide to Deciphering Studies in Artificial Intelligence. Ophthalmology. 2019
- Bellemo V, Lim Z, Lim G, et al., Ting DSW. Artificial Intelligence using Deep Learning to Screen for Referable and Vision-threatening Diabetic Retinopathy in Africa. Lancet Digital Health. 2019
- Ting DSW, Cheung CY, Nguyen Q, et al. The Application of Artificial Intelligence in Estimating the Burden and Risk Factors for Diabetic Retinopathy. NPJ Digital Medicine. 2019
- Ting DSW, Yong L, Burlina P, Xu X, et al. AI in Medical Imaging Goes Deep. Nature Medicine. 2018 [IF: 30.6]
- Ting DSW, Wong TY. Deep Learning Tehcnology using Retinal Images for Predicting Cardiovascular Risk Factors. Nature Biomedical Engineering. 2018