A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease

10.1093/ckj/sfad227

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Bibliographic Details
Main Authors:	Lim, CC, Chong, C, Tan, G, Tan, CS, Cheung, CY, Wong, TY, Cheng, CY, Sabanayagam, C
Other Authors:	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format:	Article
Published:	Oxford University Press (OUP) 2024
Subjects:	artificial intelligence cardiovascular disease chronic kidney disease microvascular disease risk prediction
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/248884
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-248884
record_format	dspace
spelling	sg-nus-scholar.10635-2488842024-11-14T07:59:00Z A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease Lim, CC Chong, C Tan, G Tan, CS Cheung, CY Wong, TY Cheng, CY Sabanayagam, C DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) DUKE-NUS MEDICAL SCHOOL OPHTHALMOLOGY Assoc Prof Charumathi Sabanayagam artificial intelligence cardiovascular disease chronic kidney disease microvascular disease risk prediction 10.1093/ckj/sfad227 Clinical Kidney Journal 16 12 2693-2702 2024-06-12T08:28:41Z 2024-06-12T08:28:41Z 2023-12-01 2024-06-11T03:35:04Z Article Lim, CC, Chong, C, Tan, G, Tan, CS, Cheung, CY, Wong, TY, Cheng, CY, Sabanayagam, C (2023-12-01). A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease. Clinical Kidney Journal 16 (12) : 2693-2702. ScholarBank@NUS Repository. https://doi.org/10.1093/ckj/sfad227 2048-8505 2048-8513 https://scholarbank.nus.edu.sg/handle/10635/248884 Oxford University Press (OUP) Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	artificial intelligence cardiovascular disease chronic kidney disease microvascular disease risk prediction
spellingShingle	artificial intelligence cardiovascular disease chronic kidney disease microvascular disease risk prediction Lim, CC Chong, C Tan, G Tan, CS Cheung, CY Wong, TY Cheng, CY Sabanayagam, C A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
description	10.1093/ckj/sfad227
author2	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
author_facet	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) Lim, CC Chong, C Tan, G Tan, CS Cheung, CY Wong, TY Cheng, CY Sabanayagam, C
format	Article
author	Lim, CC Chong, C Tan, G Tan, CS Cheung, CY Wong, TY Cheng, CY Sabanayagam, C
author_sort	Lim, CC
title	A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
title_short	A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
title_full	A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
title_fullStr	A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
title_full_unstemmed	A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease
title_sort	deep learning system for retinal vessel calibre improves cardiovascular risk prediction in asians with chronic kidney disease
publisher	Oxford University Press (OUP)
publishDate	2024
url	https://scholarbank.nus.edu.sg/handle/10635/248884
_version_	1821222157601996800

A deep learning system for retinal vessel calibre improves cardiovascular risk prediction in Asians with chronic kidney disease

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