Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia

This study investigated the diagnostic performance, feasibility, and end-user experiences of an artificial intelligence (AI)-assisted diabetic retinopathy (DR) screening model in real-world Australian healthcare settings. The study consisted of two components: (1) DR screening of patients using an A...

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Detalles Bibliográficos
Autores principales: Scheetz, Jane, Koca, Dilara, McGuinness, Myra, Holloway, Edith, Tan, Zachary, Zhu, Zhuoting, O’Day, Rod, Sandhu, Sukhpal, MacIsaac, Richard J., Gilfillan, Chris, Turner, Angus, Keel, Stuart, He, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339059/
https://www.ncbi.nlm.nih.gov/pubmed/34349130
http://dx.doi.org/10.1038/s41598-021-94178-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339059/
https://www.ncbi.nlm.nih.gov/pubmed/34349130
http://dx.doi.org/10.1038/s41598-021-94178-5

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