Using artificial intelligence for diabetic retinopathy screening: Policy implications

Artificial intelligence (AI) has evolved over the last few years; its use in DR screening has been demonstrated in multiple evidences across the globe. However, there are concerns right from the data acquisition, bias in data, difficulty in comparing between different algorithm, challenges in machin...

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Detalles Bibliográficos
Autores principales: Raman, Rajiv, Dasgupta, Debarati, Ramasamy, Kim, George, Ronnie, Mohan, Viswanathan, Ting, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725146/
https://www.ncbi.nlm.nih.gov/pubmed/34708734
http://dx.doi.org/10.4103/ijo.IJO_1420_21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725146/
https://www.ncbi.nlm.nih.gov/pubmed/34708734
http://dx.doi.org/10.4103/ijo.IJO_1420_21

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