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

Eligibility Criteria

Sex
ALL
Age
22 Years - N/A
Healthy Volunteers
Accepted

Interventions

  • No intervention — DEVICE
    No 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 Group
    One Cohort

Primary Outcome Measure

mtmDR detected (Referable DR) OR mtmDR not detected (non-referable DR) [ Time Frame: 1-year or 2-year ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
iHealthScreen Inc.Richmond HillNew York11418
Alauddin Bhuiyan (PRINCIPAL_INVESTIGATOR)

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