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AI for screening retinal diseases

Performance of a Generic Artificial Intelligence algorithm on a smartphone fundus camera for screening retinal conditions - Not applicable

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2024/11/076417
Enrollment
545
Registered
2024-11-08
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Health Condition 1: H36- Retinal disorders in diseases classified elsewhere

Interventions

Intervention1: NA: NA Control Intervention1: NA: NA

Sponsors

Remidio Innovative Solutions Inc
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Consecutive patients above 40 years of age in the general ophthalmology clinic with known or unknown retinal conditions or glaucoma

Exclusion criteria

Exclusion criteria: 1.Significant media opacities (cataract worse than NO4/NC4/P3 or C3 â?? LOCS III scale) or other conditions precluding adequate view of the macula or disc for fundus imaging (insufficient image quality) and active infections. 2. Undergone any retinal surgery, lasers, intravitreal injections 3.Hypersensitive to light 4.Presence of any neurological conditions 5.Contraindication to dilation & without definitive diagnosis

Design outcomes

Primary

MeasureTime frame
To evaluate the performance of a generic artificial intelligence algorithm that can screen for retinal conditions/glaucoma against two reference standard (a) Ophthalmologist (specialist) diagnosis based on a comprehensive eye examination and (b) consensus image grading by two blinded specialists (adjudicated by a senior specialist).Timepoint: 6 Months

Secondary

MeasureTime frame
NILTimepoint: NIL

Countries

India

Contacts

Public ContactDr Manavi D Sindal

Aravind Eye Hospital

manavi@aravind.org9884081417

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026