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

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

BackgroundThe 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 medical...

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Bibliographic Details
Main Authors: Xu Qian, Han Jingying, Song Xian, Zhao Yuqing, Wu Lili, Chu Baorui, Guo Wei, Zheng Yefeng, Zhang Qiang, Chu Chunyan, Bian Cheng, Ma Kai, Qu Yi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Public Health
Subjects:
medical image education
artificial intelligence
diabetic retinopathy
medical students
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1025271/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1025271/full

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