Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study
Authors:
Top Cited Papers
Open Access
- 1 May 2020
- journal article
- research article
- Published by Elsevier in The Lancet Digital Health
- Vol. 2 (5) , e240-e249
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Prevalence of diabetic retinopathy in Type 2 diabetes in developing and developed countriesDiabetic Medicine, 2013
- The Cost–Utility of Telemedicine to Screen for Diabetic Retinopathy in IndiaOphthalmology, 2013
- Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statementCost Effectiveness and Resource Allocation, 2013
- Global Prevalence and Major Risk Factors of Diabetic RetinopathyDiabetes Care, 2012
- Implementation and first-year screening results of an ocular telehealth system for diabetic retinopathy in ChinaBMC Health Services Research, 2011
- Diabetes Health DisparitiesMedical Care Research and Review, 2007
- Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in ScotlandBritish Journal of Ophthalmology, 2007
- A Modeled Economic Analysis of a Digital Teleophthalmology System As Used by Three Federal Healthcare Agencies for Detecting Proliferative Diabetic RetinopathyTelemedicine and e-Health, 2005
- Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scalesOphthalmology, 2003
- Guidelines for authors and peer reviewers of economic submissions to the BMJBMJ, 1996