A deep learning system for predicting time to progression of diabetic retinopathy

Dai, Ling; Sheng, Bin; Chen, Ting‐Li; Wu, Qiang; Liu, Ruhan; Cai, Chun; Wu, Liang; Yang, Dawei; Hamzah, Haslina; Liu, Yuexing; Wang, Xiangning; Guan, Zhouyu; Yu, Shujie; Li, Tingyao; Tang, Ziqi; Ran Ran, An; Che, Haoxuan; Chen, Hao; Zheng, Yingfeng; Shu, Jia; Huang, Shan; Wu, Chan; Lin, Shiqun; Liu, Dan; Li, Jiajia; Wang, Zheyuan; Meng, Ziyao; Shen, Jie; Hou, Xuhong; Deng, Chenxin; Ruan, Lei; Lu, Feng; Chee, Miao-Li; Cheer Quek, Ten; Srinivasan, Ramyaa; Raman, Rajiv; Sun, Xiaodong; Xing Wang, Ya; Wu, Jiarui; Jin, Hai; Dai, Rongping; Shen, Dinggang; Yang, Xiaokang; Guo, Minyi; Zhang, Cuntai; Y. Cheung, Carol; Siew Wei Tan, Gavin; Chung Tham, Yih; Cheng, Ching‐Yu; Li, Huating; Yin Wong, Tien; Jia, Weiping

doi:10.1038/s41591-023-02702-z

Public

A deep learning system for predicting time to progression of diabetic retinopathy

Published in Nature Medicine • Jan 4, 2024

Authors:

Ling Dai

Bin Sheng

Ting‐Li Chen

Abstract

Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk of DR progression is highly variable among different individuals, making it difficult to predict risk and personalize screening intervals. We developed and validated a deep learning system (DeepDR Plus) to pr...

Subject

Medicine

Diabetic retinopathy

Concordance

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!