Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank

Abstract Background Currently in the United Kingdom, cardiovascular disease (CVD) risk assessment is based on the QRISK3 score, in which 10% 10-year CVD risk indicates clinical intervention. However, this benchmark has limited efficacy in clinical practice and the need for a more simple, non-invasiv...

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Bibliographic Details
Main Authors: Rachel Marjorie Wei Wen Tseng, Tyler Hyungtaek Rim, Eduard Shantsila, Joseph K. Yi, Sungha Park, Sung Soo Kim, Chan Joo Lee, Sahil Thakur, Simon Nusinovici, Qingsheng Peng, Hyeonmin Kim, Geunyoung Lee, Marco Yu, Yih-Chung Tham, Ameet Bakhai, Paul Leeson, Gregory Y.H. Lip, Tien Yin Wong, Ching-Yu Cheng
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medicine
Subjects:
Artificial intelligence
Cardiovascular disease
Deep learning
Retinal imaging
Retinal photograph
Risk stratification
Online Access:https://doi.org/10.1186/s12916-022-02684-8

Internet

https://doi.org/10.1186/s12916-022-02684-8

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