Daniel SW Ting

Papers

Total Citations

H-Index

About

Daniel SW Ting is a pioneering clinician-scientist at the forefront of ophthalmic artificial intelligence, digital imaging, and surgical robotics. His research centers on developing and validating AI-driven diagnostic and therapeutic tools for vitreoretinal diseases, with a particular focus on diabetic retinopathy and age-related macular degeneration. Ting’s major contributions include leading landmark studies that demonstrate how deep learning algorithms can match or surpass human experts in detecting retinal pathologies from fundus photographs and optical coherence tomography scans. His work on integrating AI into teleophthalmology platforms has helped expand access to eye care in underserved populations globally. With over 19,000 citations, Ting’s research has profoundly shaped the field of ophthalmic AI, and he is widely recognized for his leadership in multi-center clinical trials and international consensus guidelines. Notably, his 2024 paper on artificial intelligence, digital imaging, and robotics for surgical vitreoretinal diseases outlines a roadmap for the next generation of smart, automated ophthalmic surgery. A recipient of numerous awards, including the prestigious ARVO Gold Fellow, Ting continues to inspire a new wave of researchers at the intersection of ophthalmology and artificial intelligence.