Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program

PURPOSE: We examine the rate of and reasons for follow-up in an Artificial Intelligence (AI)-based workflow for diabetic retinopathy (DR) screening relative to two human-based workflows. PATIENTS AND METHODS: A DR screening program initiated September 2019 between one institution and its affiliated...

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Detalles Bibliográficos
Autores principales: Dow, Eliot R, Chen, Karen M, Zhao, Cindy S, Knapp, Austen N, Phadke, Anuradha, Weng, Kirsti, Do, Diana V, Mahajan, Vinit B, Mruthyunjaya, Prithvi, Leng, Theodore, Myung, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665027/
https://www.ncbi.nlm.nih.gov/pubmed/38026608
http://dx.doi.org/10.2147/OPTH.S422513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665027/
https://www.ncbi.nlm.nih.gov/pubmed/38026608
http://dx.doi.org/10.2147/OPTH.S422513

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