Application of an enhanced deep super-resolution network in retinal image analysis

2020 ◽  
Author(s):  
Tanmay Gulati ◽  
Sourya Sengupta ◽  
Vasudevan Lakshminarayanan
Keyword(s):  
Image Analysis ◽  
Retinal Image ◽  
Super Resolution ◽  
Retinal Image Analysis

Sirius: A web-based system for retinal image analysis

2010 ◽  
Vol 79 (10) ◽  
pp. 722-732 ◽  
Author(s):  
M. Ortega ◽  
N. Barreira ◽  
J. Novo ◽  
M.G. Penedo ◽  
A. Pose-Reino ◽  
...  
Keyword(s):  
Image Analysis ◽  
Retinal Image ◽  
Web Based ◽  
Retinal Image Analysis ◽  
Web Based System

scholarly journals Five-Year Cost-Effectiveness Modeling of Primary Care-Based, Nonmydriatic Automated Retinal Image Analysis Screening Among Low-Income Patients with Diabetes

2020 ◽  
pp. 193229682096701
Author(s):  
Spencer D. Fuller ◽  
Jenny Hu ◽  
James C. Liu ◽  
Ella Gibson ◽  
Martin Gregory ◽  
...  
Keyword(s):  
Primary Care ◽  
Image Analysis ◽  
Cost Effectiveness ◽  
Low Income ◽  
Retinal Image ◽  
Standard Of Care ◽  
Retinal Image Analysis ◽  
Effectiveness Analysis ◽  
Patients With Diabetes ◽  
Screening Systems

Background: Artificial intelligence-based technology systems offer an alternative solution for diabetic retinopathy (DR) screening compared with standard, in-office dilated eye examinations. We performed a cost-effectiveness analysis of Automated Retinal Image Analysis System (ARIAS)-based DR screening in a primary care medicine clinic that serves a low-income patient population. Methods: A model-based, cost-effectiveness analysis of two DR screening systems was created utilizing data from a recent study comparing adherence rates to follow-up eye care among adults ages 18 or older with a clinical diagnosis of diabetes. In the study, the patients were prescreened with an ARIAS-based, nonmydriatic (undilated), point-of-care tool in the primary care setting and were compared with patients with diabetes who were referred for dilated retinal screening without prescreening, as is the current standard of care. Using a Markov model with microsimulation resulting in a total of 600 000 simulated patient experiences, we calculated the incremental cost-utility ratio (ICUR) of the two screening approaches, with regard to five-year cost-effectiveness of DR screening and treatment of vision-threatening DR. Results: At five years, ARIAS-based screening showed similar utility as the standard of care screening systems. However, ARIAS reduced costs by 23.3%, with an ICUR of $258 721.81 comparing the current practice to ARIAS. Conclusions: Primary care-based ARIAS DR screening is cost-effective when compared with standard of care screening methods.

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