Health Condition 1: H36- Retinal disorders in diseases classified elsewhere
Conditions
Interventions
Intervention1: Nil: Nil
Intervention2: Nil: Nil
Intervention3: Nil: Nil
Control Intervention1: AI tool: Efficiency of AI tool in detecting dry eyes, Age Related Macular Degeneration and Diabetic Retin
Sponsors
Sankara Academy of Vision
Eligibility
Inclusion criteria
Inclusion criteria: Participants who can understand and provide informed consent for participation in the study. All Genders are included. Adults with a diagnosis of Type 1 or Type 2 diabetes
Exclusion criteria
Exclusion criteria: Participants with Active ocular infection Participants with Mature cataract Participants with Media opacities preventing good-quality retinal images History of Corneal surgery or trauma in past 6 months
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Comparison of clinical efficiency of AI tool in detecting Chronic eye conditions when compared to specialist (gold standard) diagnoses. For NIBUT, TMH, MGD, LLI, diabetic retinopathy (DR),age-related macular degeneration (AMD)Timepoint: first visit | — |
Secondary
| Measure | Time frame |
|---|---|
| To test the sensitivity & specificity of AI tool in detecting the dry eye, retinal diseases like ARMD & Diabetic retinopathyTimepoint: baseline one time visit | — |
Countries
India
Contacts
Public ContactDr. Kaushik Murali
sanakara Eye Foundation
Outcome results
None listed