Type 1 or 2 diabetes mellitus patients who come for diabetic retinopathy screening Diabetic Retinopathy, Screening, Deep Learning Algorithm, Human Grader
Conditions
Interventions
Diabetes mellitus patients undergo diabetic retinopathy screening by AI,Diabetes mellitus patients undergo diabetic retinopathy screening by health care personnel
Screening,Screening
AI screening group,Manual screening group
Sponsors
Health Systems Research Institute (HSRI)
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Type 1 or 2 diabetes mellitus patients whose name are in primary hospital record 2. No full-time ophthalmologists in those primary hospital 3. Age more than or equal to 18 years 4. Eligible for fundus photo imaging at least 1 eye
Exclusion criteria
Exclusion criteria: 1. Type 1 or 2 diabetes mellitus patients whose name are in primary hospital record that have full-time ophthalmologists 2. Patients who previously diagnosed with other causes of macular edema, for example, Age-related Macular Degeneration, Radiation Retinopathy, Retinal Vein Occlusion etc. 3. History of retinal laser or surgery 4. Other ocular diseases that require referral to ophthalmologists 5. Not eligible for fundus photo imaging for both eyes (any causes)
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Efficiency and effectiveness of AI in diabetic retinopathy screening Throughout the whole period of study 1.Down time and failure rate of AI system 2. Referral adherance in AI group 3. Cost in development and implement of AI system | — |
Secondary
| Measure | Time frame |
|---|---|
| Satisfaction of patients and health care personnel in AI-based screening At the end of study Questionnaire | — |
Countries
Thailand
Contacts
Public ContactPaisan Ruamviboonsuk
Ophthalmology department
Outcome results
None listed