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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Vydáno v:BMJ Open Diabetes Res Care
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: BMJ Publishing Group 2020
Témata:
Epidemiology/Health services research
On-line přístup: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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