None listed
Conditions
Interventions
Intervention1: Nil: Nil
Intervention2: Nil: Nil
Intervention3: Nil: Nil
Intervention4: Nil: Nil
Sponsors
Emory University, Hubert Department of Global Health, Rollins School of Public Health
Eligibility
Inclusion criteria
Inclusion criteria: Adults above 18 years, without and with type 2 diabetes willing to provide informed consent and undergo blood tests and smartphone retinal photography
Exclusion criteria
Exclusion criteria: 1.Individuals with other types of diabetes, such as type 1 diabetes, gestational diabetes 2. Individuals with media opacities for whom retinal photography is not possible
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Development of an artificial intelligence (AI) software that can detect type 2 diabetes through retinal color photographyTimepoint: end of 1st year | — |
Secondary
| Measure | Time frame |
|---|---|
| Usability of the novel AI tool with retinal imaging for screening of type 2 diabetesTimepoint: by end of 2nd year;Comparing the diagnostic yield of T2D of AI-enabled smartphone-based fundus imaging compared to conventional, standard of care screening for type 2 diabetes in IndiaTimepoint: year 3 & 4;Evaluate, using mixed methods, the feasibility, scalability, & costing of AI-enabled smartphone-based fundus imaging compared with conventional type 2 diabetes screening in community outreach centersTimepoint: year 4 | — |
Countries
India
Contacts
Public ContactDr R Rajalakshmi
Madras Diabetes Research Foundation
Outcome results
None listed