An interactive system for computer-aided retinal image analysis

2003 ◽  
Author(s):  
G.W. Donohoe ◽  
S. Nemeth ◽  
P. Soliz
Keyword(s):  
Image Analysis ◽  
Retinal Image ◽  
Interactive System ◽  
Retinal Image Analysis ◽  
Computer Aided

Automatic Retinal Image Analysis for the Detection of Diabetic Retinopathy

2018 ◽  
pp. 146-161 ◽  
Author(s):  
Prasanna Porwal ◽  
Samiksha Pachade ◽  
Manesh Kokare ◽  
Girish Deshmukh ◽  
Vivek Sahasrabuddhe
Keyword(s):  
Image Analysis ◽  
Diabetic Retinopathy ◽  
Retinal Image ◽  
Communication Systems ◽  
Retinal Disease ◽  
Disease Diagnosis ◽  
Machine Learning Techniques ◽  
Retinal Image Analysis ◽  
Computer Aided ◽  
Computer Scientists

Diabetic Retinopathy, a condition in the person affected by diabetes, is most common cause of blindness in the world. Recent research has given a better understanding of requirement in clinical eye care practice to identify better and cheaper ways of identification, management, diagnosis and treatment of retinal disease. The importance of diabetic retinopathy screening programs and difficulty in achieving reliable early diagnosis of diabetic retinopathy at a reasonable cost needs attention to develop computer-aided diagnosis tool. Computer aided disease diagnosis in retinal image analysis could ease mass screening of population with diabetes mellitus and help clinicians in utilizing their time more efficiently. The recent technological advances in computing power, communication systems, and machine learning techniques provide opportunities to the biomedical engineers and computer scientists to meet the requirements of clinical practice. With proper self-care, management, and medical professional support, individuals with diabetes can live a healthy and long life.

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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