Daniel Ting, MBBS (Hons), M Med (Ophth), FAMS, PhD (UWA)
Project Title: A Multi-Model Explainable Artificial Intelligence System Using Weekly Supervised Deep Learning Techniques to Detect and Prognosticate Center-Involving Diabetic Macular Edema Requiring Treatment via a Web-3 Based Digital Platform.
Dr. Ting is the current Associate Professor in Ophthalmology with Duke-National University Singapore 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 Center. In 2017, he was chosen as the US-ASEAN Fulbright Scholar, representing Singapore to visit Johns Hopkins University 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 centers 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).
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
