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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2021
Materias:
Emerging Technologies: Data Systems and Devices
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132324/
https://www.ncbi.nlm.nih.gov/pubmed/33402366
http://dx.doi.org/10.2337/dc20-1877

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132324/
https://www.ncbi.nlm.nih.gov/pubmed/33402366
http://dx.doi.org/10.2337/dc20-1877

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