A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal images

A noninvasive model for chronic kidney disease screening and common pathological type identification from retinal images

Abstract Chronic kidney disease (CKD) is a global health challenge, but invasive renal biopsies, the gold standard for diagnosis and prognosis, are often clinically constrained. To address this, we developed the kidney intelligent diagnosis system (KIDS), a noninvasive model for renal biopsy predict...

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Main Authors: Qianni Wu, Jianbo Li, Lanqin Zhao, Dong Liu, Jingyi Wen, Yunuo Wang, Yiqin Wang, Naya Huang, Lanping Jiang, Qinghua Liu, Hanming Lin, Pengxia Wan, Shicong Yang, Wenfang Chen, Hongjian Ye, Mohammed Haji Rashid Hassan, Ahmed Hassan Nur, Zefang Dai, Jie Guo, Shanshan Zhou, Jianwen Yu, Weixing Zhang, Wenben Chen, Ruiyang Li, Wai Cheng Iao, Juan-juan Feng, Yan Wang, Hua Hong, Peihong Yin, Qing Ye, Chao Xie, Min Zhu, Xiaoyi Liu, Yaozhong Kong, Jie Wang, Ruiying Ma, Yu Xiao, Guoguang Chen, Rongguo Fu, Yuhe Ke, Jasmine Ong Chiat Ling, Charumathi Sabanayagam, Daniel Shu Wei Ting, Kar Keung Cheng, Duoru Lin, Wei Chen, Haotian Lin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-62273-0
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https://doi.org/10.1038/s41467-025-62273-0

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