Artificial intelligence-enabled screening for diabetic retinopathy: A real-world, multicenter and
剑桥商务英语成绩查询prospective study
期刊名称： BMJ Open Diabetes Rearch & Care
青春的脚步作者： Yifei Zhang,Juan Shi,Ying Peng,Zhiyun Zhao,Weiqing Wangflott
年份： 2020年
期号： 第1期
关键词： diabetic retinopathy;diagnostic techniques and
procedures;epidemiology;clinical study
摘要：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 DR irestored
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微利>网上一对一授课大写字母n adult patients with diabetes in China. Rearch design and methods The study was prospectively conducted at 155 diabetes centers in China. A non-mydriatic, macula-centered fundus photograph per eye was collected and graded through a deep learning (DL)-bad, five-stage DR classification. Images from a randomly lected one-third
of participants were ud for the DL algorithm validation. Results In total, 47 269 patients (mean (SD) age, 54.29 (11.60) years) were enrolled. 15 805 randomly lected participants were reviewed by a
内容由中国教育图书进出口有限公司引进
教师节的英文>速算扣除数
