Understanding the Role of Artificial Intelligence in Expanding Access to Diabetic Retinopathy Screening (NEI R21)
Amount
Not specified
Deadline✓ Verified
Aug 31, 2028
Funder
National Eye Institute
Eligible
open to all
About This Grant
1 Project Summary/Abstract: Diabetic retinopathy (DR) is the leading cause of blindness among U.S. adults. 2 Roughly 20% of patients with DR suffer from vision-threatening complications. Estimates suggest that the vast 3 majority of blindness caused by DR could be prevented through early detection and treatment. To that end, 4 clinical guidelines recommend annual DR screening for most diabetic patients, but only 50–70% of patients 5 with diabetes receive this care. One major barrier to recommended DR screening is limited access to eye care 6 professionals. 7 Recent innovations in artificial intelligence (AI) may expand access to DR screening. FDA-approved 8 autonomous AI diagnostic systems detect DR without requiring the involvement of a physician. We propose the 9 first study of how AI expands access to DR screening and recommended treatment. To do so, we will use 10 100% of Medicare claims data to identify adoption of autonomous AI diagnostic systems for DR. We will also 11 im
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