Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms

The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for predicting other systemic biomarkers and the generalisability...

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Bibliographic Details
Published in:The Lancet. Digital health Vol. 2; no. 10; pp. e526 - e536
Main Authors: Rim, Tyler Hyungtaek, Lee, Geunyoung, Kim, Youngnam, Tham, Yih-Chung, Lee, Chan Joo, Baik, Su Jung, Kim, Young Ah, Yu, Marco, Deshmukh, Mihir, Lee, Byoung Kwon, Park, Sungha, Kim, Hyeon Chang, Sabayanagam, Charumathi, Ting, Daniel S W, Wang, Ya Xing, Jonas, Jost B, Kim, Sung Soo, Wong, Tien Yin, Cheng, Ching-Yu
Format: Journal Article
Language:English
Published: England Elsevier Ltd 01.10.2020
Elsevier
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ISSN:2589-7500, 2589-7500
Online Access:Get full text
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