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

• Autors principals: Xu Qian (Autor), Han Jingying (Autor), Song Xian (Autor), Zhao Yuqing (Autor), Wu Lili (Autor), Chu Baorui (Autor), Guo Wei (Autor), Zheng Yefeng (Autor), Zhang Qiang (Autor), Chu Chunyan (Autor), Bian Cheng (Autor), Ma Kai (Autor), Qu Yi (Autor)
• Format: Llibre
• Publicat: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• Matèries: article
• Accés en línia: Connect to this object online.

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...