作者
Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P Daskivich, April Y Maa, Ramasamy Kim, Eugene Yu-Chuan Kang, Yossi Matias, Greg S Corrado, Lily Peng, Dale R Webster, Christopher Semturs, Jonathan Krause, Avinash V Varadarajan, Naama Hammel, Yun Liu
发表日期
2023/5/1
期刊
The Lancet Digital Health
卷号
5
期号
5
页码范围
e257-e264
出版商
Elsevier
简介
Background
Photographs of the external eye were recently shown to reveal signs of diabetic retinal disease and elevated glycated haemoglobin. This study aimed to test the hypothesis that external eye photographs contain information about additional systemic medical conditions.
Methods
We developed a deep learning system (DLS) that takes external eye photographs as input and predicts systemic parameters, such as those related to the liver (albumin, aspartate aminotransferase [AST]); kidney (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [ACR]); bone or mineral (calcium); thyroid (thyroid stimulating hormone); and blood (haemoglobin, white blood cells [WBC], platelets). This DLS was trained using 123 130 images from 38 398 patients with diabetes undergoing diabetic eye screening in 11 sites across Los Angeles county, CA, USA. Evaluation focused on nine prespecified …
学术搜索中的文章
B Babenko, I Traynis, C Chen, P Singh, A Uddin… - The Lancet Digital Health, 2023