Expansion of Integrated AI Solution for Diabetic Retinopathy Screening in Thailand
- Conditions
- Type 1 or 2 diabetes mellitus patients who come for diabetic retinopathy screeningDiabetic Retinopathy, Screening, Deep Learning Algorithm, Human Grader
- Registration Number
- TCTR20220722004
- Lead Sponsor
- Health Systems Research Institute (HSRI)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- nknown
- Sex
- All
- Target Recruitment
- 34500
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
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)
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 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 Outcome Measures
Name Time Method Satisfaction of patients and health care personnel in AI-based screening At the end of study Questionnaire