Patients with any type of diabetes mellitus Diabetic retinopathy screening Image enhancement Image analysis Color retinal image Artificial intelligence Diabetic retinopathy
Conditions
Interventions
Diabetic patients (type 1 or 2) who come for a diabetic retinopathy screening
Diagnostic
Diabetic patients
Sponsors
National Higher Education Science Research and Innovation Policy Council (NXPO)
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Type 1 or 2 diabetes mellitus who come for a diabetic retinopathy screening at the eye clinic of Songklanagarind Hospital, 2. At least 18 years old of age, 3. Able to take fundus photography
Exclusion criteria
Exclusion criteria: 1. Poor quality of fundus photograph that could not be evaluated, 2. Retinal pathologies other than diabetic retinopathy
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Correction of DR severity grading by AI 1 year Sensitivity and Specificity | — |
Secondary
| Measure | Time frame |
|---|---|
| Agreement between AI and specialist grading 6 months Kappa statistic | — |
Countries
Thailand
Contacts
Public ContactPatama Bhurayanontachai
Prince of Songkla University
Outcome results
None listed