To assess the Artificial Intelligence Software in detection of Diabetic Retinopathy
Not Applicable
- Conditions
- Health Condition 1: E113- Type 2 diabetes mellitus with ophthalmic complications
- Registration Number
- CTRI/2020/03/024000
- Lead Sponsor
- Dr S Sivaranjani
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
All the diabetic patients visiting the DR screening camps with pupil size 3 mm or more, cataract with grade senile immature cataract with nuclear sclerosis II (NSII) and with clear cornea.
Exclusion Criteria
Patients with macular or leucomatous corneal opacity, cataract with grade more than senile immature cataract with nuclear sclerosis II.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To assess the accuracy of grading done by Artificial IntelligenceTimepoint: Once the recruitment is completed, the images will be sent to Retina Specialist and assessed. Time point will be 3 months.
- Secondary Outcome Measures
Name Time Method To assess the number of patients with Diabetic Retinopathy in patients who come for a Diabetic Retinopathy camp.Timepoint: By the end of recruitment - 3 months