Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study-Reference-Cited by-同舟云学术

Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study

Published:2020-05 Issue:5 Volume:2 Page:e240-e249
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Xie Yuchen,Nguyen Quang D,Hamzah Haslina,Lim Gilbert,Bellemo Valentina,Gunasekeran Dinesh V,Yip Michelle Y T,Qi Lee Xin,Hsu Wynne,Li Lee Mong,Tan Colin S,Tym Wong Hon,Lamoureux Ecosse L,Tan Gavin S W,Wong Tien Y,Finkelstein Eric A,Ting Daniel S W

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference26 articles.

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2. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review;Ting;Clin Exp Ophthalmol,2016

3. Prevalence of diabetic retinopathy in type 2 diabetes in developing and developed countries;Ruta;Diabet Med,2013

4. Diabetes health disparities;Peek;Med Care Res Rev,2007

5. Telemedicine for detecting diabetic retinopathy: a systematic review and meta-analysis;Shi;Br J Ophthalmol,2015

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