A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real‐world study

BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learning algorithm (DLA) to detect referable diabetic retinopathy (DR) in different subgroups stratified by types of diabetes, blood pressure, sex, BMI, age, glycosylated hemoglobin (HbA1c), diabetes durati...

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Detalles Bibliográficos
Autores principales: Li, Na, Ma, Mingming, Lai, Mengyu, Gu, Liping, Kang, Mei, Wang, Zilong, Jiao, Shengyin, Dang, Kang, Deng, Junxiao, Ding, Xiaowei, Zhen, Qin, Zhang, Aifang, Shen, Tingting, Zheng, Zhi, Wang, Yufan, Peng, Yongde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Publishing Asia Pty Ltd 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060020/
https://www.ncbi.nlm.nih.gov/pubmed/34889059
http://dx.doi.org/10.1111/1753-0407.13241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060020/
https://www.ncbi.nlm.nih.gov/pubmed/34889059
http://dx.doi.org/10.1111/1753-0407.13241

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