AI steps in to spot eye disease in underserved communities

NCT ID NCT06629649

Summary

This study aims to test an artificial intelligence (AI) eye screening program in community health centers that serve low-income and uninsured patients. It will screen 1,800 adults at risk for glaucoma, diabetic retinopathy, cataracts, or vision problems to see if the program effectively detects these conditions and if patients follow up with an eye doctor. The research will also compare the cost and satisfaction of this AI-assisted screening to traditional doctor-led methods.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham

    RECRUITING

    Birmingham, Alabama, 35294-0009, United States

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.