AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy

Detection of diabetic retinopathy (DR) outside of specialized eye care settings is an important means of access to vision-preserving health maintenance. Remote interpretation of fundus photographs acquired in a primary care or other nonophthalmic setting in a store-and-forward manner is a predominan...

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Veröffentlicht in:	Ophthalmology science (Online) 2023-12, Vol.3 (4), p.100330-100330, Article 100330
Hauptverfasser:	Dow, Eliot R., Khan, Nergis C., Chen, Karen M., Mishra, Kapil, Perera, Chandrashan, Narala, Ramsudha, Basina, Marina, Dang, Jimmy, Kim, Michael, Levine, Marcie, Phadke, Anuradha, Tan, Marilyn, Weng, Kirsti, Do, Diana V., Moshfeghi, Darius M., Mahajan, Vinit B., Mruthyunjaya, Prithvi, Leng, Theodore, Myung, David
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Deep learning Diabetic retinopathy Human-in-the-loop Original Teleophthalmology
Online-Zugang:	Volltext
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