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

Abstract 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 u...

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Auteurs principaux: Jane Scheetz, Dilara Koca, Myra McGuinness, Edith Holloway, Zachary Tan, Zhuoting Zhu, Rod O’Day, Sukhpal Sandhu, Richard J. MacIsaac, Chris Gilfillan, Angus Turner, Stuart Keel, Mingguang He
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/dd018d16b72943788b1a6f5469c33b4c
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