TY - JOUR
T1 - Development of a deep learning algorithm for provision of a South Western Sydney diabetes retinal screening service
AU - Daley, Jason R.
AU - Wang, Xingdi
AU - Simmons, David
AU - Osuagwu, Uchechukwu L.
AU - Vellayutham, Vallimayil
AU - Khoo, Chee L.
AU - Heydon, Peter
AU - Liew, Gerald
AU - Andric, Marko
AU - Kaushik, Shweta
PY - 2022
Y1 - 2022
N2 - Diabetic retinopathy (DR) is highly prevalent in the multi-ethnic and low socioeconomic population of South Western Sydney. This is a significant public health burden, demanding efficient and cost-effective diabetes retinal screening. The multi-centre South Western Eye and Diabetes Deep Learning Algorithm study, supported by an Ophthalmic Research Institute of Australia grant, aims to develop and validate a novel deep learning algorithm, capable of grading DR, for a new diabetes retinal screening service. This abstract evaluates the performance of the Diabetic retinopathy OCT Open souRce Artificial Intelligence (Doctor AI©SK) program.
AB - Diabetic retinopathy (DR) is highly prevalent in the multi-ethnic and low socioeconomic population of South Western Sydney. This is a significant public health burden, demanding efficient and cost-effective diabetes retinal screening. The multi-centre South Western Eye and Diabetes Deep Learning Algorithm study, supported by an Ophthalmic Research Institute of Australia grant, aims to develop and validate a novel deep learning algorithm, capable of grading DR, for a new diabetes retinal screening service. This abstract evaluates the performance of the Diabetic retinopathy OCT Open souRce Artificial Intelligence (Doctor AI©SK) program.
UR - https://hdl.handle.net/1959.7/uws:68206
U2 - 10.1111/ceo.14014
DO - 10.1111/ceo.14014
M3 - Article
SN - 1442-6404
VL - 49
SP - 805
EP - 805
JO - Clinical and Experimental Ophthalmology
JF - Clinical and Experimental Ophthalmology
IS - 8
ER -
