The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy

BACKGROUND: The purpose of this study is to develop an artificial intelligence (AI)-based automated diabetic retinopathy (DR) grading and training system from a real-world diabetic dataset of China, and in particular, to investigate its effectiveness as a learning tool of DR manual grading for medic...

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Detalles Bibliográficos
Autores principales: Qian, Xu, Jingying, Han, Xian, Song, Yuqing, Zhao, Lili, Wu, Baorui, Chu, Wei, Guo, Yefeng, Zheng, Qiang, Zhang, Chunyan, Chu, Cheng, Bian, Kai, Ma, Yi, Qu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678340/
https://www.ncbi.nlm.nih.gov/pubmed/36419999
http://dx.doi.org/10.3389/fpubh.2022.1025271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678340/
https://www.ncbi.nlm.nih.gov/pubmed/36419999
http://dx.doi.org/10.3389/fpubh.2022.1025271

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