Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems

OBJECTIVE: With rising global prevalence of diabetic retinopathy (DR), automated DR screening is needed for primary care settings. Two automated artificial intelligence (AI)–based DR screening algorithms have U.S. Food and Drug Administration (FDA) approval. Several others are under consideration wh...

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Foilsithe in:Diabetes Care
Main Authors: Lee, Aaron Y., Yanagihara, Ryan T., Lee, Cecilia S., Blazes, Marian, Jung, Hoon C., Chee, Yewlin E., Gencarella, Michael D., Gee, Harry, Maa, April Y., Cockerham, Glenn C., Lynch, Mary, Boyko, Edward J.
Formáid: Artigo
Teanga:Inglês
Foilsithe: American Diabetes Association 2021
Ábhair:
Emerging Technologies: Data Systems and Devices
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8132324/
https://ncbi.nlm.nih.gov/pubmed/33402366
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2337/dc20-1877
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