Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.
Journal:
Journal of telemedicine and telecare
PMID:
36908254
Abstract
INTRODUCTION: Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of vision-threatening diseases. Our study prospectively investigated deep learning artificial intelligence applications in student-run non-mydriatic screenings for an underserved, primarily Hispanic community during COVID-19.