Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study
Stuart Keel(Centre for Eye Research Australia), Mingguang He(Hong Kong Polytechnic University), Mark A. Kotowicz(Barwon Health), Zhixi Li(Northwest A&F University), Jane Scheetz(The University of Melbourne), Richard J. MacIsaac, Pei Ying Lee(The University of Melbourne)
Cited by 220
Related Papers
Atrasentan and renal events in patients with type 2 diabetes and chronic kidney disease (SONAR): a double-blind, randomised, placebo-controlled trial
|The Lancet|2019|609
A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology
|Scientific Reports|2021|279
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs
|Diabetes Care|2018|264
Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study
|American Journal of Clinical Nutrition|2016|243