Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study

INTRODUCTION: Early screening for diabetic retinopathy (DR) with an efficient and scalable method is highly needed to reduce blindness, due to the growing epidemic of diabetes. The aim of the study was to validate an artificial intelligence-enabled DR screening and to investigate the prevalence of D...

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Detalhes bibliográficos
Publicado no:BMJ Open Diabetes Res Care
Main Authors: Zhang, Yifei, Shi, Juan, Peng, Ying, Zhao, Zhiyun, Zheng, Qidong, Wang, Zilong, Liu, Kun, Jiao, Shengyin, Qiu, Kexin, Zhou, Ziheng, Yan, Li, Zhao, Dong, Jiang, Hongwei, Dai, Yuancheng, Su, Benli, Gu, Pei, Su, Heng, Wan, Qin, Peng, Yongde, Liu, Jianjun, Hu, Ling, Ke, Tingyu, Chen, Lei, Xu, Fengmei, Dong, Qijuan, Terzopoulos, Demetri, Ning, Guang, Xu, Xun, Ding, Xiaowei, Wang, Weiqing
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2020
Assuntos:
Epidemiology/Health services research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7580048/
https://ncbi.nlm.nih.gov/pubmed/33087340
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjdrc-2020-001596
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