Pivotal Trial of an Automated AI-based System for Early Diagnosis and Prediction of Late Age-related Macular Degeneration

NCT07084883 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1076

Last updated 2025-08-28

No results posted yet for this study

Summary

The purpose of this study is to perform a pivotal trial of iPredict, an automated AI-based system for early diagnosis and prediction of late AMD in primary care and ophthalmology settings. Patients will be invited to participate in this study by having non-dilated photos of their eyes taken by an FDA approved fundus camera (DRSPlus from Centervue Inc., CA), at their primary care doctor's office or general ophthalmologist office. The photos will then be transmitted securely and analyzed by computer in the cloud (telemedicine features). Sufficient accuracy of the automatic system has been established compared to the ophthalmologist's diagnosis. In this study, we aim to validate the system against the prospectively taken OCT image and color fundus images.

Conditions

  • Age-related Macular Degeneration (AMD)

Interventions

DEVICE

No intervention.

No intervention. Evaluate the automated AMD screening software.

Sponsors & Collaborators

  • National Institutes of Health (NIH)

    collaborator NIH
  • National Eye Institute (NEI)

    collaborator NIH
  • iHealthScreen Inc

    lead INDUSTRY

Principal Investigators

  • Alauddin Bhuiyan, PhD · iHealthScreen Inc

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-08-01
Primary Completion
2027-07-31
Completion
2027-07-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07084883 on ClinicalTrials.gov