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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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