Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images

Zhang, K; Liu, XH; Xu, J; Yuan, J; Cai, WJ; Chen, T; Wang, K; Gao, YX; Nie, S; Xu, XD; Qin, XQ; Su, YD; Xu, WQ; Olvera, A; Xue, KM; Li, ZH; Zhang, MX; Zeng, XX; Zhang, CL; Li, OL; Zhang, EE; Zhu, J; Xu, YM; Kermany, D; Zhou, KX; Pan, Y; Li, SY; Lai, IF; Chi, Y; Wang, CG; Pei, M; Zang, GX; Zhang, Q; Lau, J; Lam, D; Zou, XG; Wumaier, A; Wang, JQ; Shen, Y; Hou, FF; Zhang, P; Xu, T; Zhou, Y; Wang, GY

Zhang, K (corresponding author), West China Hosp, Ctr Clin Translat Innovat, Chengdu, Peoples R China.; Zhang, K (corresponding author), West China Hosp, Biomed Big Data Ctr, Chengdu, Peoples R China.; Zhang, K (corresponding author), Sichuan Univ, Chengdu, Peoples R China.; Zhang, K (corresponding author), Macau Univ Sci & Technol, Fac Med, Ctr Biomed & Innovat, Macau, Peoples R China.; Zhang, K (corresponding author), Univ Hosp, Macau, Peoples R China.; Chen, T (corresponding author), Tsinghua

NATURE BIOMEDICAL ENGINEERING, 2021; 5 (6): 533

Abstract

Deep-learning models trained on retinal fundus images can be used to identify chronic kidney disease and type 2 diabetes and to predict the risk of th......

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