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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Dades bibliogràfiques
Publicat a:BMJ Open Diabetes Res Care
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: BMJ Publishing Group 2020
Matèries:
Epidemiology/Health services research
Accés en línia: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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