Progress in examining cost-effectiveness of AI in diabetic retinopathy screening
Author:
Publisher
Elsevier BV
Subject
Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)
Reference8 articles.
1. Artificial intelligence and deep learning in ophthalmology;Ting;Br J Ophthalmol,2019
2. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review;Ting;Clin Exp Ophthalmol,2016
3. Global prevalence and major risk factors of diabetic retinopathy;Yau;Diabetes Care,2012
4. Diabetes health disparities;Peek;Med Care Res Rev,2007
5. Development and validation of a deep learning system for diabetic retinopathy and eye related disease using retinal images from multiethnic populations with diabetes;Ting;JAMA,2017
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