Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

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作者： Bjorn Kaijun,Betzler ^[1] ; Evelyn Yi Lyn,Chee ^[2] ; Feng,He ^[3] ; Cynthia Ciwei,Lim ^[4] ; Jinyi,Ho ^[3] ; Haslina,Hamzah ^[3] ; Ngiap Chuan,Tan ^[5] ; Gerald,Liew ^[6] ; Gareth J,McKay ^[7] ; Ruth E,Hogg ^[7] ; Ian S,Young ^[7] ; Ching-Yu,Cheng ^[3] ; Su Chi,Lim ^[8] ; Aaron Y,Lee ^[9] ; Tien Yin,Wong ^[10] ; Mong Li,Lee ^[11] ; Wynne,Hsu ^[12] ; Gavin Siew Wei,Tan ^[3] ; Charumathi,Sabanayagam ^[8]

作者单位： Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore. ^[1] School of Computing, National University of Singapore, 117417, Singapore. ^[2] Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore. ^[3] Department of Renal Medicine, Singapore General Hospital, 168753, Singapore. ^[4] SingHealth Polyclinics, Singapore Health Services, 168582, Singapore. ^[5] Westmead Institute for Medical Research, University of Sydney, NSW 2145, Australia. ^[6] Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom. ^[7] Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore. ^[8] Khoo Teck Puat Hospital, 768828, Singapore. ^[9] Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore. ^[10] Saw Swee Hock School of Public Health, National University of Singapore, 117549, Singapore. ^[11] Department of Ophthalmology, University of Washington, Seattle, WA 98104, United States. ^[12]

关键词 artificial intelligence diabetes machine learning renal insufficiency retina screening