Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.
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| Title: | Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. |
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| Authors: | Betzler BK; Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore., Chee EYL; School of Computing, National University of Singapore, 117417, Singapore., He F; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore., Lim CC; Department of Renal Medicine, Singapore General Hospital, 168753, Singapore., Ho J; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore., Hamzah H; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore., Tan NC; SingHealth Polyclinics, Singapore Health Services, 168582, Singapore., Liew G; Westmead Institute for Medical Research, University of Sydney, NSW 2145, Australia., McKay GJ; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom., Hogg RE; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom., Young IS; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom., Cheng CY; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore., Lim SC; Khoo Teck Puat Hospital, 768828, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.; Saw Swee Hock School of Public Health, National University of Singapore, 117549, Singapore., Lee AY; Department of Ophthalmology, University of Washington, Seattle, WA 98104, United States., Wong TY; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore., Lee ML; School of Computing, National University of Singapore, 117417, Singapore., Hsu W; School of Computing, National University of Singapore, 117417, Singapore., Tan GSW; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore., Sabanayagam C; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Nov 17; Vol. 30 (12), pp. 1904-1914. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocad179 |
