We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success.
- Authors
Wolf, Risa M.; Channa, Roomasa; Lehmann, Harold P.; Abramoff, Michael D.; Liu, T.Y. Alvin
- Abstract
The article focuses on the clinical implementation of autonomous artificial intelligence (AI) systems for diabetic eye exams, emphasizing their potential to increase access, facilitate early identification of diabetic eye disease (DED), and prevent irreversible vision loss. It mentions these AI systems, including the FDA-approved LumineticsCore, have demonstrated efficacy, and their adoption is supported by guidelines, ethical frameworks.
- Subjects
DIABETES complications; BLINDNESS; MACULAR edema; HEALTH services accessibility; RETINA; ARTIFICIAL intelligence; MEDICAL screening; PRIMARY health care; PHOTOGRAPHY; DIABETIC retinopathy; VISION disorders; EYE examination; EARLY diagnosis
- Publication
Clinical Diabetes, 2024, Vol 42, Issue 1, p142
- ISSN
0891-8929
- Publication type
Article
- DOI
10.2337/cd23-0019