Pivotal Trial of Automated Artificial Intelligence (AI) Based System for Early Diagnosis of Diabetic Retinopathy
Part of paid clinical trials in Richmond Hill, New York.
- Sponsor
- iHealthScreen Inc
- Study ID
- NCT07151001
- Status
- Recruiting
Conditions
- Diabetes
- Diabetic Retinopathy
Eligibility Criteria
- Sex
- ALL
- Age
- 22 Years - N/A
- Healthy Volunteers
- Accepted
Interventions
- No intervention — DEVICENo intervention. Evaluate the automated DR screening software.
Study Details
In this pivotal trial, we aim to perform a prospective study to find the efficacy of iPredict-DR, an artificial intelligence (AI) based software tool on early diagnosis of Diabetic Retinopathy (DR) in the primary care and endocrinology clinics. DR is one of the leading causes of blindness in the United States and other developed countries. Every individual with diabetes is at risk of DR. It does not show any symptoms until the disease is progressed to advanced stages. If the disease is caught at an early stage, it can be prevented, managed, or treated effectively. Currently, screening for DR is done by the Ophthalmologists, which is limited to areas with limited availability. This is also time-consuming and expensive. All of these can be complemented by automated screening and set up the screening in the primary care clinics.
Key Dates
- Start date
- Jan 1, 2025
- Status verified
- Aug 2025
- Primary completion
- Jul 31, 2026
- Completion
- Jul 31, 2027
Study Design
- Enrollment
- 922 participants (estimated)
Arms
- Arm: One GroupOne Cohort
Primary Outcome Measure
mtmDR detected (Referable DR) OR mtmDR not detected (non-referable DR) [ Time Frame: 1-year or 2-year ]
Central Contacts
- Alauddin Bhuiyan718-926-9000
- Fariha Nuha, BS (Comp. Biology)718-912-0837
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| iHealthScreen Inc. | Richmond Hill | New York | 11418 | Alauddin Bhuiyan (PRINCIPAL_INVESTIGATOR) |
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