Citation Impact
Citing Papers
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
2020 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study
2019
Prevalence of diabetic retinopathy, proliferative diabetic retinopathy and non-proliferative diabetic retinopathy in Asian T2DM patients: a systematic review and Meta-analysis
2019
Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045
2021 Standout
Guidelines on Diabetic Eye Care
2018
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs
2018
Artificial Intelligence and Deep Learning in Ophthalmology
2018
Validation of automated screening for referable diabetic retinopathy with the IDx‐DR device in the Hoorn Diabetes Care System
2017
Making sense of change: patients’ views of diabetes and GP ‐led integrated diabetes care
2015
Diabetic retinopathy management guidelines
2012
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
2016 Standout
What approaches to social prescribing work, for whom, and in what circumstances? A realist review
2019 Standout
Works of Daniel Ting being referenced
Availability and variability in guidelines on diabetic retinopathy screening in Asian countries
2017
Retinal Video Recording
2011
Diabetic retinopathy--screening and management by Australian GPs.
2011
Ten Emerging Trends in the Epidemiology of Diabetic Retinopathy
2016