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To assess the Artificial Intelligence Software in detection of Diabetic Retinopathy

Comparison of Staging of Diabetic Retinopathy by an Offline Artificial Intelligence with onsite doctor examination and Fundus Grading by retina specialist

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2020/03/024000
Enrollment
250
Registered
2020-03-16
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: E113- Type 2 diabetes mellitus with ophthalmic complications

Interventions

Intervention1: Artificial Intelligence: Grading by Artificial Intelligence Control Intervention1: Onsite doctor: Grading by Artificial Intelligence will be compared to grading by the onsite doctor in

Sponsors

Dr S Sivaranjani
Lead Sponsor

Eligibility

Inclusion criteria

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

Exclusion criteria: Patients with macular or leucomatous corneal opacity, cataract with grade more than senile immature cataract with nuclear sclerosis II.

Design outcomes

Primary

MeasureTime frame
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

MeasureTime frame
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—

Countries

India

Contacts

Public ContactDr S Sivaranjani

Aravind Eye Hospital

drsivaranjani.s@gmail.com

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026