Retinal age gap as a predictive biomarker for mortality risk
Retinal age gap as a predictive biomarker for mortality risk
About this item
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Author / Creator
Zhu, Zhuoting , Shi, Danli , Guankai, Peng , Tan, Zachary , Shang, Xianwen , Hu, Wenyi , Liao, Huan , Zhang, Xueli , Huang, Yu , Yu, Honghua , Meng, Wei , Wang, Wei , Ge, Zongyuan , Yang, Xiaohong and He, Mingguang
Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
Journal title
Language
English
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Publisher
BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd
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Scope and Contents
Contents
AimTo develop a deep learning (DL) model that predicts age from fundus images (retinal age) and to investigate the association between retinal age gap (retinal age predicted by DL model minus chronological age) and mortality risk.MethodsA total of 80 169 fundus images taken from 46 969 participants in the UK Biobank with reasonable quality were inc...
Alternative Titles
Full title
Retinal age gap as a predictive biomarker for mortality risk
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_2621250605
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2621250605
Other Identifiers
ISSN
0007-1161
E-ISSN
1468-2079
DOI
10.1136/bjophthalmol-2021-319807
